Teses / dissertações sobre o tema "Dbsan"
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Neto, AntÃnio Cavalcante AraÃjo. "G2P-DBSCAN: Data Partitioning Strategy and Distributed Processing of DBSCAN with MapReduce". Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=15592.
Texto completo da fonteClustering is a data mining technique that brings together elements of a data set such so that the elements of a same group are more similar to each other than to those from other groups. This thesis studied the problem of processing the clustering based on density DBSCAN algorithm distributedly through the MapReduce paradigm. In the distributed processing it is important that the partitions are processed have approximately the same size, provided that the total of the processing time is limited by the time the node with a larger amount of data leads to complete the computation of data assigned to it. For this reason we also propose a data set partitioning strategy called G2P, which aims to distribute the data set in a balanced manner between partitions and takes into account the characteristics of DBSCAN algorithm. More Specifically, the G2P strategy uses grid and graph structures to assist in the division of space low density regions. Distributed DBSCAN the algorithm is done processing MapReduce two stages and an intermediate phase that identifies groupings that can were divided into more than one partition, called candidates from merging. The first MapReduce phase applies the algorithm DSBCAN the partitions individually. The second and checks correcting, if necessary, merge candidate clusters. Experiments using data sets demonstrate that true G2P-DBSCAN strategy overcomes the baseline adopted in all the scenarios, both at runtime and quality of obtained partitions.
ClusterizaÃao à uma tÃcnica de mineraÃÃo de dados que agrupa elementos de um conjunto de dados de forma que os elementos que pertencem ao mesmo grupo sÃo mais semelhantes entre si que entre elementos de outros grupos. Nesta dissertaÃÃo nÃs estudamos o problema de processar o algoritmo de clusterizaÃÃo baseado em densidade DBSCAN de maneira distribuÃda atravÃs do paradigma MapReduce. Em processamentos distribuÃdos à importante que as partiÃÃes de dados a serem processadas tenham tamanhos proximadamente iguais, uma vez que o tempo total de processamento à delimitado pelo tempo que o nà com uma maior quantidade de dados leva para finalizar a computaÃÃo dos dados a ele atribuÃdos. Por essa razÃo nÃs tambÃm propomos uma estratÃgia de particionamento de dados, chamada G2P, que busca distribuir o conjunto de dados de forma balanceada entre as partiÃÃes e que leva em consideraÃÃo as caracterÃsticas do algoritmo DBSCAN. Mais especificamente, a estratÃgia G2P usa estruturas de grade e grafo para auxiliar na divisÃo do espaÃo em regiÃes de baixa densidade. Jà o processamento distribuÃdo do algoritmo DBSCAN se dà por meio de duas fases de processamento MapReduce e uma fase intermediÃria que identifica clusters que podem ter sido divididos em mais de uma partiÃÃo, chamados de candidatos à junÃÃo. A primeira fase de MapReduce aplica o algoritmo DSBCAN nas partiÃÃes de dados individualmente, e a segunda verifica e corrige, caso necessÃrio, os clusters candidatos à junÃÃo. Experimentos utilizando dados reais mostram que a estratÃgia G2P-DBSCAN se comporta melhor que a soluÃÃo utilizada para comparaÃÃo em todos os cenÃrios considerados, tanto em tempo de execuÃÃo quanto em qualidade das partiÃÃes obtidas.
Araújo, Neto Antônio Cavalcante. "G2P-DBSCAN: Estratégia de Particionamento de Dados e de Processamento Distribuído fazer DBSCAN com MapReduce". reponame:Repositório Institucional da UFC, 2016. http://www.repositorio.ufc.br/handle/riufc/16372.
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Clustering is a data mining technique that brings together elements of a data set such so that the elements of a same group are more similar to each other than to those from other groups. This thesis studied the problem of processing the clustering based on density DBSCAN algorithm distributedly through the MapReduce paradigm. In the distributed processing it is important that the partitions are processed have approximately the same size, provided that the total of the processing time is limited by the time the node with a larger amount of data leads to complete the computation of data assigned to it. For this reason we also propose a data set partitioning strategy called G2P, which aims to distribute the data set in a balanced manner between partitions and takes into account the characteristics of DBSCAN algorithm. More Specifically, the G2P strategy uses grid and graph structures to assist in the division of space low density regions. Distributed DBSCAN the algorithm is done processing MapReduce two stages and an intermediate phase that identifies groupings that can were divided into more than one partition, called candidates from merging. The first MapReduce phase applies the algorithm DSBCAN the partitions individually. The second and checks correcting, if necessary, merge candidate clusters. Experiments using data sets demonstrate that true G2P-DBSCAN strategy overcomes the baseline adopted in all the scenarios, both at runtime and quality of obtained partitions.
Clusterizaçao é uma técnica de mineração de dados que agrupa elementos de um conjunto de dados de forma que os elementos que pertencem ao mesmo grupo são mais semelhantes entre si que entre elementos de outros grupos. Nesta dissertação nós estudamos o problema de processar o algoritmo de clusterização baseado em densidade DBSCAN de maneira distribuída através do paradigma MapReduce. Em processamentos distribuídos é importante que as partições de dados a serem processadas tenham tamanhos proximadamente iguais, uma vez que o tempo total de processamento é delimitado pelo tempo que o nó com uma maior quantidade de dados leva para finalizar a computação dos dados a ele atribuídos. Por essa razão nós também propomos uma estratégia de particionamento de dados, chamada G2P, que busca distribuir o conjunto de dados de forma balanceada entre as partições e que leva em consideração as características do algoritmo DBSCAN. Mais especificamente, a estratégia G2P usa estruturas de grade e grafo para auxiliar na divisão do espaço em regiões de baixa densidade. Já o processamento distribuído do algoritmo DBSCAN se dá por meio de duas fases de processamento MapReduce e uma fase intermediária que identifica clusters que podem ter sido divididos em mais de uma partição, chamados de candidatos à junção. A primeira fase de MapReduce aplica o algoritmo DSBCAN nas partições de dados individualmente, e a segunda verifica e corrige, caso necessário, os clusters candidatos à junção. Experimentos utilizando dados reais mostram que a estratégia G2P-DBSCAN se comporta melhor que a solução utilizada para comparação em todos os cenários considerados, tanto em tempo de execução quanto em qualidade das partições obtidas.
Mahmod, Shad. "Deinterleaving pulse trains with DBSCAN and FART". Thesis, Uppsala universitet, Avdelningen för systemteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-379718.
Texto completo da fonteКулік, Євгенія Сергіївна, Евгения Сергеевна Кулик, Євгенія Сергіївна Кулік, Захар Вікторович Козлов, Захар Викторович Козлов e Zakhar Viktorovych Kozlov. "Використання SR-дерев у щільнісному методі кластеризації числових просторів DBSCAN". Thesis, Cумський державний університет, 2016. http://essuir.sumdu.edu.ua/handle/123456789/46528.
Texto completo da fonteKästel, Arne Morten, e Christian Vestergaard. "Comparing performance of K-Means and DBSCAN on customer support queries". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260252.
Texto completo da fonteI kundtjänst förekommer det ofta upprepningar av frågor samt sådana frågor som inte kräver unika svar. I syfte att öka produktiviteten i kundtjänst funktionens arbete att besvara dessa frågor undersöks metoder för att automatisera en del av arbetet. Vi undersöker olika metoder för klusteranalys, applicerat på existerande korpusar innehållande texter så väl som frågor. Klusteranalysen genomförs i syfte att identifiera dokument som är semantiskt lika, vilket i ett automatiskt system för frågebevarelse skulle kunna användas för att besvara en ny fråga med ett existerande svar. En jämförelse mellan hur K-means och densitetsbaserad metod presterar på tre olika korpusar vars dokumentrepresentationer genererats med BERT genomförs. Vidare diskuteras den digitala transformationsprocessen, varför företag misslyckas avseende implementation samt även möjligheterna för en ny mer iterativ modell.
Legoabe, Reginald Sethole. "An Impact Assessment of the DBSA/ SALGA ICT Internship Programme: A Case Study". Thesis, North-West University (South Africa), 2010. http://hdl.handle.net/10919/71530.
Texto completo da fonteMini-dissertation submitted in partial fullfilment of the requirements for the North-West University Yunibesiti Ya Bokone-Bophirima Noordwest-Universiteit Masters Degree in Business Administration (MBA) Human Resource Management (HRM) North-West University (NWU) Graduate School of Business & Government
Мельникова, П. А. "Поиск аномалий во временных рядах на основе оценивания их параметров". Thesis, ХНУРЕ, 2021. https://openarchive.nure.ua/handle/document/16436.
Texto completo da fonteКрамар, Іван Ігорович. "Кластеризація даних, що збираються з відібраних джерел науково-технічної інформації". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/36639.
Texto completo da fonteThe aim of the work is to use the clustering of scientific and technical data not only for the visual representation of objects, but also for the recognition of new ones. The purpose of document clustering is to automatically detect groups of semantically similar documents among a given fixed set. Groups are formed only on the basis of pairwise similarity of document descriptions, and no characteristics of these groups are set in advance. Methods for deleting uninformative words are considered: deletion of stop words, stemming, N-diagrams, case reduction. The following methods were used to highlight keywords and classify the results: dictionary, statistical and based on the Y-interpretation of Bradford's law, TF-IDF measure, F-measure and the method of licorice patterns. Python programming language was chosen to implement the system of cluster analysis of scientific and technical data, a high-level, the implementation of the interpreter 2.7. This program code is easier to read, its reuse and maintenance is much easier than using program code in other languages.
Целью работы является применение кластеризации научно-технических данных не только для наглядного представления объектов, но и для распознавания новых. Целью кластеризации документов является автоматическое выявление групп семантически похожих документов среди заданной фиксированной множества. Группы формируются только на основе попарно сходства описаний документов, и никакие характеристики этих групп не задаются заранее. Для удаления неинформативных слов рассмотрены методы: удаление стоп-слов, стемминг, N-диаграммы, приведение регистра. Для выделения ключевых слов и классификации результатов использованы следующие методы: словарный, статистический и построен на основе Y-интерпретации закона Брэдфорда, TF-IDF мера, F-мера и способ лакричным шаблонов. Для реализации системы кластерного анализа научно-технических данных избран высокоуровневый язык программирования Python, реализация интерпретатора 2.7. Данный программный код читается легче, его многократное использование и обслуживание выполняется гораздо проще, чем использование программного кода на других языках.
Kannamareddy, Aruna Sai. "Density and partition based clustering on massive threshold bounded data sets". Kansas State University, 2017. http://hdl.handle.net/2097/35467.
Texto completo da fonteDepartment of Computing and Information Sciences
William H. Hsu
The project explores the possibility of increasing efficiency in the clusters formed out of massive data sets which are formed using threshold blocking algorithm. Clusters thus formed are denser and qualitative. Clusters that are formed out of individual clustering algorithms alone, do not necessarily eliminate outliers and the clusters generated can be complex, or improperly distributed over the data set. The threshold blocking algorithm, a current research paper from Michael Higgins of Statistics Department on other hand, in comparison with existing algorithms performs better in forming the dense and distinctive units with predefined threshold. Developing a hybridized algorithm by implementing the existing clustering algorithms to re-cluster these units thus formed is part of this project. Clustering on the seeds thus formed from threshold blocking Algorithm, eases the task of clustering to the existing algorithm by eliminating the overhead of worrying about the outliers. Also, the clusters thus generated are more representative of the whole. Also, since the threshold blocking algorithm is proven to be fast and efficient, we now can predict a lot more decisions from large data sets in less time. Predicting the similar songs from Million Song Data Set using such a hybridized algorithm is considered as the data set for the evaluation of this goal.
Huo, Shiyin. "Detecting Self-Correlation of Nonlinear, Lognormal, Time-Series Data via DBSCAN Clustering Method, Using Stock Price Data as Example". The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1321989426.
Texto completo da fonteLind, Emma, e Mattias Stahre. "Deinterleaving of radar pulses with batch processing to utilize parallelism". Thesis, KTH, Kommunikationssystem, CoS, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273737.
Texto completo da fonteGenom analysering av radarsignaler i en miljö kan hotnivån bestämmas. Detta är en kritisk uppgift som måste lösas snabbt och med bra noggrannhet. För att kunna klassificera en specifik radar måste de elektromagnetiska pulserna identifieras. Vanligtvis sänder flera emittrar ut radarpulser samtidigt i en miljö. Dessa pulser måste sorteras i grupper, där varje grupp innehåller pulser från en och samma emitter. Målet med denna avhandling är att ta fram ett sätt att snabbt och korrekt sortera dessa pulser parallellt. Den valda metoden använder grupper av data som analyserades parallellt för att nyttja fördelar med en multitrådad Central Processing Unit (CPU) eller en Central Processing Unit (CPU) or a Graphics Processing Unit (GPU). Först behövde en klustringsalgoritm väljas och därefter en optimal gruppstorlek för den valda algoritmen. Gruppstorleken baserades på att grupperna kunde behandlas parallellt och snabbt, samt uppnå tillförlitlig klustring. En kvantitativ metod användes som baserades på experiment genom att mäta klustringens tillförlitlighet, exekveringstid, systemets svarstid och parallellitet som en funktion av gruppstorlek med avseende på den valda klustringsalgoritmen. Density-based Spatial Clustering of Applications with Noise (DBSCAN) valdes som algoritm på grund av dess förmåga att hitta kluster av olika former och storlekar utan att på förhand ange antalet kluster för en mängd datapunkter, samt dess låga tidskomplexitet. Resultaten från utvärderingen visade att det är möjligt att implementera ett system med grupper av pulser och uppnå bra och tillförlitlig klustring i jämförelse med en sekventiell implementation av maximum likelihood-metoden. En optimal gruppstorlek i antal datapunkter och cutoff tid är svårt att definiera då storleken är väldigt beroende på indata. Det vill säga, en gruppstorlek måste inte nödvändigtvis vara optimal för alla typer av indataströmmar i form av tillförlitlig klustring och svarstid för systemet. En lösning skulle vara att definiera optimala gruppstorlekar i förväg för olika indataströmmar, för att sedan kunna anpassa gruppstorleken efter indataströmmen. Det uppstår en fördröjning i systemet som är beroende av differensen mellan tiden det tar att skapa en grupp och exekveringstiden för att bearbeta en grupp. Denna fördröjning innebär att en parallell grupp-implementation aldrig kommer kunna vara lika snabb på att producera sin utdata som en sekventiell implementation. Detta betyder att det i ett tidskritiskt system förmodligen inte är optimalt att parallellisera mycket eftersom det leder till långsammare svarstid för systemet.
Amlinger, Anton. "An Evaluation of Clustering and Classification Algorithms in Life-Logging Devices". Thesis, Linköpings universitet, Programvara och system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121630.
Texto completo da fonteRoos, Johannes, e Sven Lindqvist. "Identifiering av områden med förhöjd olycksrisk för cyklister baserad på cykelhjälmsdata". Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20421.
Texto completo da fonteThe number of cyclists in Sweden is expected to increase in the coming years, but despite major efforts in road safety, the number of serious bicycle accidents does not decrease at the same rate as car accidents.This study has looked at the data collected by the bicycle helmet manufacturer Hövding's customers. The helmet acts as an airbag that is triggered when a strong head movement occurs in the event of an accident. The data consists of GPS positions along with a Support Vector machine (SVM)- generated value which indicates how close the helmet is to registering an accident, and thus is triggered. The purpose of the study was to analyze this data from cyclists in Malmö to see if it's possible to identify places that are over-represented in the number of elevated SVM levels, and whether these sites reflect real, potentially dangerous traffic situations. Density-based spatial clustering of applications with noise (DBSCAN) was used to identify clusters of elevated SVM levels. DBSCAN is an unsupervised clustering algorithm widely used when clustering on spatial data. From these clusters, the number of unique cycle trips that generated an elevated SVM level in the cluster was calculated, as well as the total number of cycle trips that passed through each cluster. 405 clusters were identified and sorted by the highest number of unique bike rides that generated an elevated SVM level, whereupon the top 30 were selected for further analysis. In order to validate the clusters against registered bicycle accidents, data were obtained from the Swedish Traffic Accident Data Acquisition (STRADA), the national accident database in Sweden. The thirty selected clusters had 0.082 \% cycling accidents per unique cycle trip in the clusters and for the remaining 375 clusters the figure was 0.041 \%. The number of accidents per cluster in the selected thirty clusters was 0.46 and the number for the other clusters was 0.064. The top thirty clusters were then categorized into three categories. The clusters that had a possible explanation for elevated SVM levels, such as cruise barriers and cobblestones were given category 1. Hövding has communicated that such elements in the substrate can generate elevated SVM levels. Category 2 was the clusters that had a construction site within the cluster. Category 3 was the clusters that could not be explained by any of the other two categories. The proportion of accidents per unique cycle trip in clusters belonging to category 1 was 0.068 \%, for category 2 0.071 \% and for category 3 0.106 \%.The results indicate that this data is useful for identifying places with increased risk of accidents for cyclists. The data processed in this study has a number of weaknesses in itself and the results should be interpreted with caution. For example, the data is from a short period of time, about 6 months, whereby seasonal cycling behavior is not represented in the data set. The data set is also assumed to contain some noisy data, which may have affected the results. But there is potential in this type of data so that in the future, when more data is collected, it can be used to identify places with higher risk of accidents for cyclists with greater accuracy.
Zhang, Xianjie, e Sebastian Bogic. "Datautvinning av klickdata : Kombination av klustring och klassifikation". Thesis, KTH, Hälsoinformatik och logistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230630.
Texto completo da fonteOwners of websites and applications usually profits through users that clicks on their links. These can be advertisements or items for sale amongst others. There are many studies about data analysis where they tell you if a link will be clicked, but only a few that focus on what needs to be adjusted to get the link clicked. The problem that Flygresor.se have is that they are missing a tool for their customers, travel agencies, that analyses their tickets and after that adjusts the attributes of those trips. The requested solution was an application which gave suggestions about how to change the tickets in a way that would make it more clicked and in that way, make more sales. A prototype was constructed which make use of two different data mining methods, clustering with the algorithm DBSCAN and classification with the algorithm knearest neighbor. These algorithms were used together with an evaluation process, called DNNA, which analyzes the result from the algorithms and gave suggestions about changes that could be done to the attributes of the links. The combination of the algorithms and DNNA was tested and evaluated as the solution to the problem. The program was able to predict what attributes of the tickets needed to be adjusted to get the tickets more clicks. ‘The recommendations of adjustments were reasonable but this result could not be compared to similar tools since they had not been published.
Stefan, Vasic, e Lindgren Nicklas. "Product categorisation using machine learning". Thesis, KTH, Data- och elektroteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209031.
Texto completo da fonteMaskininlärning är en metod inom datavetenskap vars uppgift är att analysera stora mängder data och hitta dolda mönster och gemensamma karaktärsdrag. Företag har idag ofta tillgång till stora mängder data som i sin tur kan innehålla värdefull information. Navetti AB vill undersöka möjligheten att automatisera sin produktkategorisering genom att utvärdera olika typer av maskininlärnings- algoritmer. Detta skulle dramatiskt öka effektiviteten både tidsmässigt och ekonomiskt. Resultatet blev tre prototyper som implementerar tre olika maskininlärnings-algoritmer som automatiserat kategoriserar produkter. Prototyperna testades och utvärderades utifrån dess förmåga att kategorisera och dess prestanda i form av hastighet. Olika tekniker som används för att förbereda data analyseras och utvärderas. En analys av testerna visar att med tillräckligt mycket data och en passande algoritm så är det möjligt att automatisera den manuella kategoriseringen.
Rojas, Araya Javier Orlando. "Diseño de procesos para la segmentación de clientes según su comportamiento de compra y hábito de consumo en una empresa de consumo masivo". Tesis, Universidad de Chile, 2017. http://repositorio.uchile.cl/handle/2250/145586.
Texto completo da fonteLa industria de alimentos de consumo masivo ha ido evolucionando en el tiempo. Los primeros canales de venta para llegar a los clientes finales fueron los almacenes de barrio los que se vieron fuertemente amenazados con la proliferación de grandes cadenas de supermercados. La aparición de internet también creó un nuevo canal que permite a los clientes finales hacer pedidos de productos y pagarlos a través de aplicaciones móviles para finalmente recibirlos en su domicilio. A pesar de esta evolución en los canales, los almacenes de barrio se niegan a desaparecer. Son muchos los clientes que siguen prefiriendo la atención amable y personalizada de los almacenes junto con un abanico amplio de productos y precios atractivos. La empresa no está ajena a esta realidad y también comercializa sus productos a clientes finales por los canales supermercado y almacenes. Respecto a los almacenes se atiende mensualmente una cantidad aproximada de 25.000 clientes a nivel nacional donde existe una mayor concentración en la zona centro del país. Segmentar a estos clientes para conocer su comportamiento de compra y hábito de consumo se ha convertido en el eje central de la estrategia de este canal. Ya no basta con analizar los reportes de ventas para aumentar el rendimiento del Área Comercial. Este proyecto tiene por objetivo agrupar los clientes del canal Almacenes de la empresa bajo los conceptos de comportamiento de compra y hábito de consumo y lograr caracterizarlos. Para alcanzar esta meta se utiliza la metodología de Ingeniería de Negocios que parte desde la definición del posicionamiento estratégico, el modelo de negocio, la arquitectura de procesos, el diseño detallado de los procesos, el diseño del apoyo tecnológico que soportará a los procesos y finalmente la construcción y puesta en marcha de la solución. Además se utilizarán algoritmos propios para este tipo de tareas como son DBSCAN y K-Means. Los resultados obtenidos permiten segmentar a los clientes en siete grupos para el comportamiento de compra y siete para el hábito consumo. Con esto se puede responder las preguntas de cuándo, cuánto y qué compran los clientes del canal. El beneficio del proyecto se traduce en un aumento de las ventas por acciones que permiten recuperar a clientes que están en proceso de fugarse y por aumento del ticket promedio de aquellos clientes que realizan compras frecuentes pero de muy bajo monto de facturación.
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Gao, Yang. "Article identification for inventory list in a warehouse environment". Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-27132.
Texto completo da fonteFumbata, Nandipha. "Industrial policy, institutions and industrial financing in South Africa: the role of the IDC and DBSA, and lessons from Brazil’s BNDES". Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/d1021278.
Texto completo da fonteTshabalala, Alfred Mshengu. "Financing public hospitals in South Africa : the case of the Industrial Development Corporation (IDC) and the Development Bank of Southern Africa (DBSA)". Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/97444.
Texto completo da fonteENGLISH ABSTRACT: The research on this topic was motivated by the concern about the state of disarray in the public hospitals infrastructure and that due to budget constrain across the globe, the governments can no longer afford to provide public health services alone without the assistance of the private sector. South African public healthcare system continues to function in a state of disarray. Public hospitals serve the vast majority of the South African population, but are underfunded and in most cases these hospitals have ailing infrastructure. The study will look at the mechanism to fund public hospitals. This study examines the role that the Industrial Development Corporation and the Development Bank of Southern Africa can play in addressing the gap that exists in funding public hospitals. It will attempt to answer the following questions of concern, how is public healthcare financed in South Africa, what are the major challenges in financing public hospitals, what is the current role played by the Industrial Development Corporation and the Development Bank of Southern Africa in funding the public hospitals and what are the other possible solutions to address these challenges. The findings indicate that, despite the government funding the public hospitals there is a shortfall of funds for hospitals to complete the project that they are engage in. Chris Hani Baragwanath Academic Hospital and other five cases of hospitals in KwaZulu Natal were looked at and confirmed that there is definitely a gap in funding public hospitals
Lundstedt, Magnus. "Implementation and Evaluation of Image Retrieval Method Utilizing Geographic Location Metadata". Thesis, Uppsala universitet, Teknisk-naturvetenskapliga fakulteten, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-171865.
Texto completo da fonteArce, Munoz Samuel. "Optimized 3D Reconstruction for Infrastructure Inspection with Automated Structure from Motion and Machine Learning Methods". BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8469.
Texto completo da fontePeabody, Dustin P. "Detecting Metagame Shifts in League of Legends Using Unsupervised Learning". ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2482.
Texto completo da fonteLindroth, Henriksson Amelia. "Unsupervised Anomaly Detection on Time Series Data: An Implementation on Electricity Consumption Series". Thesis, KTH, Matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301731.
Texto completo da fonteDigitaliseringen av elbranschen, införandet av smarta nät samt ökad reglering av elmätning har resulterat i stora mängder eldata. Denna data skapar en unik möjlighet att analysera och förstå fastigheters elförbrukning för att kunna effektivisera den. Ett viktigt inledande steg i analysen av denna data är att identifiera möjliga anomalier. I denna uppsats testas fyra olika maskininlärningsmetoder för detektering av anomalier i elförbrukningsserier: densitetsbaserad spatiell klustring för applikationer med brus (DBSCAN), lokal avvikelse-faktor (LOF), isoleringsskog (iForest) och en-klass stödvektormaskin (OC-SVM). För att kunna utvärdera metoderna infördes syntetiska anomalier i elförbrukningsserierna och de fyra metoderna utvärderades därefter för de två anomalityperna punktanomali och gruppanomali. Utöver elförbrukningsdatan inkluderades även variabler som beskriver tidigare elförbrukning, utomhustemperatur och tidsegenskaper i modellerna. Resultaten tyder på att tillägget av temperaturvariabeln och lag-variablerna i allmänhet försämrade modellernas prestanda, medan införandet av tidsvariablerna förbättrade den. Av de fyra metoderna visade sig OC-SVM vara bäst på att detektera punktanomalier medan LOF var bäst på att detektera gruppanomalier. I ett försök att förbättra modellernas detekteringsförmåga utfördes samma experiment efter att elförbrukningsserierna trend- och säsongsrensats. Modellerna presterade inte bättre på de rensade serierna än på de icke-rensade.
Bergqvist, Jonathan. "Study of Protein Interfaces with Clustering". Thesis, Linköpings universitet, Bioinformatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152471.
Texto completo da fonteJared, Mohammed Iqbal. "The development region as opposed to the "Homeland" as the essential element of regional development policy". University of the Western Cape, 1991. http://hdl.handle.net/11394/7855.
Texto completo da fonteThis study is an evaluation of development strategies that have been followed in South Africa. Lebowa is used as a case study for an assessment of the present strategy. The basic question is whether or not it is economically, politically and socially effective to follow the "homeland" development strategy. This approach places "homeland" states within confined political borders. Development policies are also confined to these borders. An alternative is to follow a broader regional development strategy, that spans across both political and economic borders. This may provide a more feasible approach to development. The present regional pattern of development, which focuses mainly on industrial decentralization, is discussed. The evaluation of the present strategy explores various other alternatives which may provide for a more effective regional development policy. In this context an assessment of 'backward regions/homelands' is provided. The central problem addressed is the country or 'homeland' versus regional orientation. To understand the problem, the core-periphery view on South Africa's regional growth pattern, is utilized. The PWV, Durban/ Pinetown and the Cape metropole areas may be taken as "core", where most of the economic activity takes place. One can also distinguish between the "inner-periphery", which is close to the core, and the "outer-periphery", further away from the core and which includes the Black Homelands. This core-periphery approach provides an understanding of the polarisation effect, which results in the "homelands" becoming poorer, whilst the urban areas grow richer. The main criticism of the of the modernisation or diffusionist approach is that the "trickle-down" or spread-effect from the core to the other regions does not really take place. Thus, regional aspirations are not satisfied. The South African Government's attempts to counter some of the forces of concentration have been questionable. Within the context of the diffusionist paradigm, trickle-down effects have not occurred because of the super-imposition of a political ideology onto this approach. Rather these areas are the result of polarization (re-inforced by political consideration) brought about by the concept of separate development. It is clear that South Africa's approach to regional development is in a process of change. This is mainly due to the failure of the "homelands" strategy. Since the mid 1970's it has become increasingly clear that the "homelands" could not really become economically independent (and internationally recognised), and development strategy concentrating on each that the uneconomic and inefficient."homeland" would be uneconomists critical of this unified economy. planners and politicians. approach have suggested that the whole South African economy should be planned as one economy, even if the homelands still maintain political independence. The nine development region mapping of South Africa, Regions A - J, came about as a result of attempting to address South Africa as a more unified economy. Up to now, the proposed role of the regions have not been clearly stated
Faccioli, Caterina. "Spatial analysis in pathomics: a network based method applied on fluorescence microscopy". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25122/.
Texto completo da fonteHodzic, Amer, e Danny Hoang. "Detection of Deviations in Beehives Based on Sound Analysis and Machine Learning". Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105316.
Texto completo da fonteBungula, Wako Tasisa. "Bi-filtration and stability of TDA mapper for point cloud data". Diss., University of Iowa, 2019. https://ir.uiowa.edu/etd/6918.
Texto completo da fonteHanna, Peter, e Erik Swartling. "Anomaly Detection in Time Series Data using Unsupervised Machine Learning Methods: A Clustering-Based Approach". Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273630.
Texto completo da fonteFör flera företag i tillverkningsindustrin är felsökningar av produkter en fundamental uppgift i produktionsprocessen. Då användningen av olika maskininlärningsmetoder visar sig innehålla användbara tekniker för att hitta fel i produkter är dessa metoder ett populärt val bland företag som ytterligare vill förbättra produktionprocessen. För vissa industrier är feldetektering starkt kopplat till anomalidetektering av olika mätningar. I detta examensarbete är syftet att konstruera oövervakad maskininlärningsmodeller för att identifiera anomalier i tidsseriedata. Mer specifikt består datan av högfrekvent mätdata av pumpar via ström och spänningsmätningar. Mätningarna består av fem olika faser, nämligen uppstartsfasen, tre last-faser och fasen för avstängning. Maskinilärningsmetoderna är baserade på olika klustertekniker, och de metoderna som användes är DBSCAN och LOF algoritmerna. Dessutom tillämpades olika dimensionsreduktionstekniker och efter att ha konstruerat 5 olika modeller, alltså en för varje fas, kan det konstateras att modellerna lyckats identifiera anomalier i det givna datasetet.
Shreepathi, Subrahmanya. "Dodecylbenzenesulfonic Acid: A Surfactant and Dopant for the Synthesis of Processable Polyaniline and its Copolymers". Doctoral thesis, Universitätsbibliothek Chemnitz, 2006. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200602029.
Texto completo da fonteZanotti, Andrea. "Supporto a query geografiche efficienti su dati spaziali in ambiente Apache Spark". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Encontre o texto completo da fonteBjurenfalk, Jonatan, e August Johnson. "Automated error matching system using machine learning and data clustering : Evaluating unsupervised learning methods for categorizing error types, capturing bugs, and detecting outliers". Thesis, Linköpings universitet, Programvara och system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177280.
Texto completo da fontePersson, Pontus. "Identifying Early Usage Patterns That Increase User Retention Rates In A Mobile Web Browser". Thesis, Linköpings universitet, Databas och informationsteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-137793.
Texto completo da fonteJiménez, González Daniel. "ALGORITMOS DE CLUSTERING PARALELOS EN SISTEMAS DE RECUPERACIÓN DE INFORMACIÓN DISTRIBUIDOS". Doctoral thesis, Universitat Politècnica de València, 2011. http://hdl.handle.net/10251/11234.
Texto completo da fonteJiménez González, D. (2011). ALGORITMOS DE CLUSTERING PARALELOS EN SISTEMAS DE RECUPERACIÓN DE INFORMACIÓN DISTRIBUIDOS [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/11234
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Boccali, Matteo. "Tecniche di Machine Learning Non Supervisionato per riconoscimento licenze". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Encontre o texto completo da fonteBehara, Krishna Nikhil Sumanth. "Origin-destination matrix estimation using big traffic data: A structural perspective". Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/132444/1/Krishna_Behara_Thesis.pdf.
Texto completo da fonteFešar, Marek. "Analýza dat na sociálních sítích s využitím dolování dat". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236086.
Texto completo da fonteHezoučký, Ladislav. "Nástroj pro shlukovou analýzu". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237169.
Texto completo da fonteCova, Riccardo. "Analisi di dati citofluorimetrici con tecniche di Data Mining". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4774/.
Texto completo da fonteDi, Marzo Giuseppe. "Advanced Analytics per il Marketing: clustering dei clienti fidelizzati". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
Encontre o texto completo da fonteHlaváček, Martin. "Snížení paměťové náročnosti stavového zpracování síťového provozu". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236547.
Texto completo da fonteVeta, Jacob E. "Analysis and Development of a Lower Extremity Osteological Monitoring Tool Based on Vibration Data". Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1595879294258019.
Texto completo da fonteHlosta, Martin. "Modul pro shlukovou analýzu systému pro dolování z dat". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237158.
Texto completo da fonteTomešová, Tereza. "Autonomní jednokanálový deinterleaving". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-445470.
Texto completo da fonteDywili, Nomxolisi Ruth. "Development of Metal Nanoparticle-Doped Polyanilino-Graphene Oxide High Performance Supercapacitor Cells". University of the Western Cape, 2018. http://hdl.handle.net/11394/6251.
Texto completo da fonteSupercapacitors, also known as ultracapacitors or electrochemical capacitors, are considered one of the most important subjects concerning electricity or energy storage which has proven to be problematic for South Africa. In this work, graphene oxide (GO) was supported with platinum, silver and copper nanoparticles anchored with dodecylbenzenesulphonic acid (DBSA) doped polyaniline (PANI) to form nanocomposites. Their properties were investigated with different characterization techniques. The high resolution transmission electron microscopy (HRTEM) revealed GO's nanosheets to be light, flat, transparent and appeared to be larger than 1.5 ?m in thickness. This was also confirmed by high resolution scanning electron microscopy (HRSEM) with smooth surfaces and wrinkled edges observed with the energy dispersive X-ray analysis (EDX) confirming the presence of the functional groups such as carbon and oxygen. The HRTEM analysis of decorated GO with platinum, silver and copper nanoparticles (NPs) revealed small and uniformly dispersed NPs on the surface of GO with mean particle sizes of 2.3 ± 0.2 nm, 2.6 ± 0.3 nm and 3.5 ± 0.5 nm respectively and the surface of GO showed increasing roughness as observed in HRSEM micrographs. The X-ray fluorescence microscopy (XRF) and EDX confirmed the presence of the nanoparticles on the surface of GO as platinum, silver and copper which appeared in abundance in each spectra. Anchoring the GO with DBSA doped PANI revealed that single GO sheets were embedded into the polymer latex, which caused the DBSA-PANI particles to become adsorbed on their surfaces. This process then appeared as dark regions in the HRTEM images. Morphological studies by HRSEM also supported that single GO sheets were embedded into the polymer latex as composite formation appeared aggregated and as bounded particles with smooth and toothed edges.
SANTOS, Danilo Abreu. "Recomendação pedagógica para melhoria da aprendizagem em redações". Universidade Federal de Campina Grande, 2015. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/550.
Texto completo da fonteMade available in DSpace on 2018-05-02T13:28:09Z (GMT). No. of bitstreams: 1 DANILO ABREU SANTOS - DISSERTAÇÃO PPGCC 2015..pdf: 2955839 bytes, checksum: 45290d85cdffbae0320f29fc5e633cb6 (MD5) Previous issue date: 2015-08-24
A modalidade de educação online tem crescido significativamente nas últimas décadas em todo o mundo, transformando-se em uma opção viável tanto àqueles que não dispõem de tempo para trabalhar a sua formação acadêmica na forma presencial quanto àqueles que desejam complementá-la. Há também os que buscam ingressar no ensino superior por meio do Exame Nacional do Ensino Médio (ENEM) e utilizam esta modalidade de ensino para complementar os estudos, objetivando sanar lacunas deixadas pela formação escolar. O ENEM é composto por questões objetivas (subdivididas em 4 grandes áreas: Linguagens e Códigos; Matemática; Ciências Humanas; e Ciências Naturais) e a questão subjetiva (redação). Segundo dados do Ministério da Educação (MEC), mais de 50% dos candidatos que fizeram a prova do ENEM em 2014 obtiveram desempenho abaixo de 500 pontos na redação. Esta pesquisa utilizará recomendações pedagógicas baseadas no gênero textual utilizado pelo ENEM, visando prover uma melhoria na escrita da redação dissertativa. Para tanto, foi utilizado, como ferramenta experimental, o ambiente online de aprendizagem MeuTutor. O ambiente possui um módulo de escrita de redação, no qual é utilizada para correção dos textos elaborados pelos alunos, a metodologia de avaliação por pares, cujo pesquisas mostram que os resultados avaliativos são significativos e bastante similares aos obtidos por professores especialistas. Entretanto, apenas apresentar a pontuação da redação por si só, não garante a melhora da produção textual do aluno avaliado. Desta forma, visando um ganho em performance na produção da redação, foi adicionado ao MeuTutor um módulo de recomendação pedagógica baseado em 19 perfis resultados do uso de algoritmos de mineração de dados (DBScan e Kmeans) nos microdados do ENEM 2012 disponibilizado pelo MEC. Estes perfis foram agrupados em 6 blocos que possuíam um conjunto de tarefas nas áreas de escrita, gramática e coerências e concordância textual. A validação destas recomendações foi feita em um experimento de 3 ciclos, onde em cada ciclo o aluno: escreve a redação; avalia os seus pares; realiza a recomendação pedagógica que foi recebida. A partir da análise estatística destes dados, foi possível constatar que o modelo estratégico de recomendação utilizado nesta pesquisa, possibilitou um ganho mensurável na qualidade da produção textual.
Online education has grown significantly in recent years throughout the world, becoming a viable option for those who don’t have the time to pursuit traditional technical training or academic degree. In Brazil, people seek to enter higher education through the National Secondary Education Examination (ENEM) and use online education to complement their studies, aiming to remedy gaps in their school formation. The ENEM consists of objective questions (divided into 4 main areas: languages and codes; Mathematics; Social Sciences, and Natural Sciences), and the subjective questions (the essay). According to the Brazilian Department of Education (MEC), more than 50% of the candidates who took the test (ENEM) in 2014, obtained performance below 500 points (out of a 1000 maximum points) for their essays. This research uses educational recommendations based on the five official correction criteria for the ENEM essays, to improve writing. Thus, this research used an experimental tool in an online learning environment called MeuTutor. The mentioned learning environment has an essay writing/correction module. The correction module uses peer evaluation techniques, for which researches show that the results are, significantly, similar to those obtained by specialists’ correction. However, to simply display the scores for the criteria does not guarantee an improvement in students’ writing. Thus, to promote that, an educational recommendation module was added to MeuTutor. It is based on 19 profiles obtained mining data from the 2012 ENEM. It uses the algorithms DBSCAN and K-Means, and grouped the profiles into six blocks, to which a set of tasks were associated to the areas of writing, grammar and coherence, and textual agreement. The validation of these recommendations was made in an experiment with three cycles, where students should: (1) write the essay; (2) evaluate their peers; (3) perform the pedagogical recommendations received. From the analysis of these data, it was found that the strategic model of recommendation used in this study, enabled a measurable gain in quality of textual production.
Málik, Peter. "Získávání znalostí z multimediálních databází". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-235525.
Texto completo da fonteShreepathi, Subrahmanya, Hung Van Hoang e Rudolf Holze. "Corrosion Protection Performance and Spectroscopic Investigations of Soluble Conducting Polyaniline-Dodecylbenzenesulfonate Synthesized via Inverse Emulsion Procedure". Universitätsbibliothek Chemnitz, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200900775.
Texto completo da fonteLanzarone, Lorenzo Biagio. "Manutenzione predittiva di macchinari industriali tramite tecniche di intelligenza artificiale: una valutazione sperimentale". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22853/.
Texto completo da fonteBoulogne, Fleur Anne. "Building sustainable communities through participation : analysing the transition from participatory planning to implementation in the case of the Grabouw Sustainable Development Initiative". Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4273.
Texto completo da fonteENGLISH ABTRACT: Through the development of sustainable communities, a transformation process can be incited towards a more sustainable way of life. An important prerequisite of this transformation process is behavioural change. This thesis is based on the supposition that participation can contribute to behavioural change. Behaviour which supports the functioning of sustainable systems, is essential in the long term success of sustainable communities. To sustain this behaviour and create a sense of ownership, participatory processes need to encompass the initial phases of development (planning) as well as the implementation and management phase (governance). To secure the participatory involvement in the implementation phase anchor points need to be created in the planning phase, which enable participation of community members in the implementation phase. By means of a case study this thesis has analysed the role of participation in the pilot project in Grabouw, a medium-sized town in the Western Cape, South Africa. The key objective was to establish whether and in what manner, the participatory planning process anticipated the involvement of community members in the implementation phase. Research shows that in some occasions, participation is defined as an instrument to effectively manage contingencies and facilitate the implementation of government decisions. However, the case studies of Grabouw and Porto Alegre, illustrate that community participation can also be organised in such a way that it enables community members to be involved in a meaningful way in decision-making processes, enabling them to shape their own environment. Defined this way active participation is not merely an instrument but an integral part of a complex system encompassing opportunities for social learning. Active participation can incite a process of „conscientization‟ and empowerment, stimulating people to become aware of sustainable challenges and adapt their behaviour accordingly. This viewpoint on participation is in line with the multi-dimensional nature of sustainable development and based on the need to facilitate a continuous evolving learning system. Furthermore it supports the notion that sustainable development is not a fixed objective but a moving target. Within this perspective sustainable communities need to be flexible entities able to evolve in accordance with increased understanding of the complex interrelated issues of sustainable development.
AFRIKAANSE OPSOMMING: ‟n Transformasieproses, gerig op ‟n meer volhoubare lewenswyse, kan deur die ontwikkeling van volhoubare gemeenskappe aangemoedig word. ‟n Belangrike voorvereiste vir so ‟n transformasieproses is gedragsverandering. Gedragsverandering is nie ‟n individuele oefening nie, maar is stewig veranker in sosiale prosesse en word daardeur beïnvloed. Om gedragsverandering op groter skaal te stimuleer, is dit nodig dat individue as katalisators van gedragsverandering optree. Deelname speel ‟n vername rol om volhoubare gemeenskappe as platforms vir volhoubare gedragsverandering op te stel. Die bestaande verskeidenheid tussen die verskillende vlakke van deelname bemoeilik die opstel van een duidelik omlynde definisie van deelname. Die regering en ander gemeenskapsrolspelers het die waarde van deelname besef en dit het algemene gebruik geword om lede van die gemeenskap by die beplanning en/of beheer van volhoubare stedelike ontwikkeling te betrek. Kompleksiteit-teorie bied ‟n waardevolle perspektief in die strewe na dieper verstandhouding rondom die geleenthede en beperkinge van deelname. Hierdie verhandeling het deur middel van ‟n gevallestudie die rol van deelname in die loodsprojek op Grabouw, ‟n medium-grootte dorp in Wes-Kaapland, geanaliseer. Die navorsing wat vir dié verhandeling gedoen is, het deel uitgemaak van ‟n evaluasiestudie wat deur die Ontwikkelingsbank van Suider Afrika bekend gestel is en deur die Omgewingsevaluasie-eenheid aan die Universiteit van Kaapstad (UK) uitgevoer is. Die navorsing het getoon dat in sommige gevalle deelname gedefinieer word as ‟n instrument om omstandighede doeltreffend te beheer en die toepassing van regeringsbesluite af te glad. Die gevallestudies van Grabouw en Porto Allegre wys egter daarop dat deelname ook op so ‟n manier georganiseer kan word dat dit lede van die gemeenskap in staat stel om op betekenisvolle wyse by besluitnemingsprosesse betrokke te raak en sodoende hulle eie omgewing rangskik. Aktiewe deelname wat so gedefinieer word, is nie ‟n instrument nie, maar ‟n integrale deel van ‟n komplekse stelsel wat geleenthede vir sosiale leer omsluit. Aktiewe deelname kan ‟n proses van „gewetensprikkeling‟ en bemagtiging aanmoedig, wat mense stimuleer om bewus te word van volhoubare uitdagings en hulle gedrag dienooreenkomstig aan te pas. Hierdie siening oor deelname is in lyn met die multi-dimensionele aard van volhoubare ontwikkeling en gebaseer op die behoefte om ‟n voortdurende ontwikkelende leerstelsel te fasiliteer. Voorts ondersteun dit die denkwyse dat volhoubare ontwikkeling nie ‟n vasgeankerde doelwit is nie, maar wel ‟n bewegende teiken. Binne hierdie perspektief behoort volhoubare gemeenskappe buigsame entiteite te wees wat daar toe in staat is om met toenemende insig van die komplekse verbandhoudende aangeleenthede rondom volhoubare ontwikkeling, te groei.