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Academic literature on the topic 'Multidimensional knowledge'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Multidimensional knowledge"

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Chow, Paul K. O., and Daniel S. Yeung. "A multidimensional knowledge structure." Expert Systems with Applications 9, no. 2 (January 1995): 177–87. http://dx.doi.org/10.1016/0957-4174(94)00060-9.

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Zenkert, Johannes, André Klahold, and Madjid Fathi. "Knowledge discovery in multidimensional knowledge representation framework." Iran Journal of Computer Science 1, no. 4 (April 4, 2018): 199–216. http://dx.doi.org/10.1007/s42044-018-0019-0.

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Shukla, Raj Kamal, and Rahul Patel. "Indigenous knowledge system: A multidimensional science." Asian Man (The) - An International Journal 12, no. 1 (2018): 129. http://dx.doi.org/10.5958/0975-6884.2018.00021.x.

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Zheng, Ya Lin. "Similarity Knowledge Mass and Multiple Multidimensional Approximate Reasoning." Applied Mechanics and Materials 333-335 (July 2013): 1392–96. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1392.

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Designing the approximate reasoning matching schemes and the corresponding algorithms with similarity relation Q instead of equivalence relation R can reflect the nature of approximate reasoning and meet more application expectations. In this paper, we introduce the type V matching scheme and the corresponding type V Q-algorithm of multiple multidimensional approximate reasoning with given multidimensional input and multidimensional knowledge bases on strong Q-logic CQ.
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McCarthy, Kathryn S., and Danielle S. McNamara. "The Multidimensional Knowledge in Text Comprehension framework." Educational Psychologist 56, no. 3 (February 5, 2021): 196–214. http://dx.doi.org/10.1080/00461520.2021.1872379.

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Schuyler, Adam D., Mark W. Maciejewski, Haribabu Arthanari, and Jeffrey C. Hoch. "Knowledge-based nonuniform sampling in multidimensional NMR." Journal of Biomolecular NMR 50, no. 3 (May 29, 2011): 247–62. http://dx.doi.org/10.1007/s10858-011-9512-6.

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Purnomo, Muhammad Ridwan Andi, Chairul Saleh, Reny Lituhayu Lagaida, and Azmi Hassan. "Knowledge-Based Genetic Algorithm for Multidimensional Data Clustering." Applied Mechanics and Materials 606 (August 2014): 277–80. http://dx.doi.org/10.4028/www.scientific.net/amm.606.277.

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In this paper, a new approach of genetic algorithm called knowledge-based Genetic Algorithm (KBGA-Clustering) is proposed for multidimensional data clustering . Basically, this method adopts knowledge of what called as appropriate cluster centre for a fixed number of k-cluster. The chromosome which has inappropriate genes will be penalised with maximum value to prohibit it in the next generation. The experimental result is also provided for KBGA-Clustering and Genetic Algorithm-Clustering (GA-Clustering) to present the performance. Based on the observation, KBGA-Clustering presents better performance and more optimum solution compared to conventional GA-Clustering.
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Ouali, Sonya, Mohamed Mhiri, and Lotfi Bouzguenda. "A Multidimensional Knowledge Model for Business Process Modeling." Procedia Computer Science 96 (2016): 654–63. http://dx.doi.org/10.1016/j.procs.2016.08.247.

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López-Huertas, María. "Reflexions on Multidimensional Knowledge: Its Influence on the Foundation of Knowledge Organization." KNOWLEDGE ORGANIZATION 40, no. 6 (2013): 400–407. http://dx.doi.org/10.5771/0943-7444-2013-6-400.

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Bleiler, Sarah K., and Denisse R. Thompson. "Multidimensional Assessment of CCSSM." Teaching Children Mathematics 19, no. 5 (December 2012): 292–300. http://dx.doi.org/10.5951/teacchilmath.19.5.0292.

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Dissertations / Theses on the topic "Multidimensional knowledge"

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Lo, Lina. "Multidimensional Knowledge Flow Dynamics in Context." Diss., NSUWorks, 2018. https://nsuworks.nova.edu/gscis_etd/1035.

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Knowledge is a sustainable advantage and knowledge assets can increase value with use. A snowball effect of knowledge advantage advocates effective knowledge management and fosters its continual growth as it flows. Knowledge, however, flows unevenly throughout an organization and the problem is that the fundamental dynamics of these flows are still not well characterized in theoretical and computational models. This study built on existing work—knowledge-flow theory, need knowledge generation, and the critical success factors for enterprise resource planning implementation—to examine the multidimensional knowledge-flow phenomenon in context, and used the case study methodology for knowledge-flow theory building. The research question was two-pronged: how can need knowledge and its flow across stakeholders within an organization be explained using a multidimensional knowledge-flow model and how can Nissen’s five-dimensional knowledge-flow model be validated using a real-life immersion case? The researcher relied on three sources of evidence for this case study: project-related documentation, archival records, and interviews. Data triangulation yielded three results components: (a) a chronology of key events that obstructed knowledge flow, (b) a logic model depicting themes that contributed to knowledge-flow obstruction, and (c) explanations of the knowledge-flow patterns. This case study suggested enabling need knowledge determinants and obstructing conditions are in play that determine the path of need knowledge flow. These two research artifacts should be considered together to provide a fresh research avenue towards better understanding of knowledge flow dynamics.
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Bowker, Lynne. "A multidimensional approach to classification in terminology : working within a computational framework." Thesis, University of Manchester, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389257.

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Hadish, Mulugeta. "Extended Multidimensional Conceptual Spaces in Document Classification." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227158181.

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Skadiang, Barbara. "Dimensions of organisational knowledge management (OKM). A study on malaysian managers using the multidimensional USQ KM scale." University of Southern Queensland, Faculty of Business, 2009. http://eprints.usq.edu.au/archive/00006252/.

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[Abstract]The case for knowledge management (KM) is firmly established in the wealth of extant literature available and is well corroborated in business best practices.However, the broad scope of KM and its multiple approaches in varied contexts,while credited for their diversity and flexibility, also call for greater universality and coherence in several areas, one of which is in the assessment of organisational knowledge management (OKM) practice. While literature attests to the dynamics of the different dimensions of KM, very limited research hasbeen conducted using a standardised multidimensional scale. This dissertation pertains to the application of an in-house developed instrument, called the USQ KM scale, to empirically study the three key dimensions of OKM identified through literature review, namely OKM strategy, OKM culture and OKM process/technology. The instrument was employed to assess the extent of OKM practice in organisations in Malaysia. Results of the survey on 153 managers provided insights into the state of OKM practice in Malaysia while confirming the mutually dependent relationship between the three dimensions of OKM andgiving rise to the researcher’s proposed conceptual tripartite OKM model. In addition, demographic factors such as the number of years of service in the organisation and years of service in a specific organisational role were found to have an impact on OKM, supporting previous empirically tested truths about OKM besides revealing a few unique traits in the Malaysian sample. The implications of the study for organisations in Malaysia as well as in other developing countries within similar contexts are especially meaningful for smaller local businesses without the benefit of multinational affiliations usually associated with superior KM capability afforded by greater economies of scale and more sizeable budgets for infrastructure support.
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Evans, Brian Lawrence. "A knowledge-based environment for the design and analysis of multidimensional multirate signal processing algorithms." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/15623.

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Li, Wang-on, and 李允安. "The assessment of learning outcome: knowledgestructure." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B31227582.

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Nunez, Edmundo Sanchez. "Regional sustainability and traditional ecological knowledge : multidimensional methodological framework proposal for supporting integrated management of vulnerable ecosystems." Thesis, University of Liverpool, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507643.

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Longchamps, Philippe. "Multilingual Immersion in Education for a Multidimensional Conceptualization of Knowledge: A Case Study of Bilingual Montessori School of Lund." Thesis, Malmö högskola, Fakulteten för lärande och samhälle (LS), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-33466.

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I denna studie undersöks hur Bilingual Montessori School of Lund (BMSL):sspråkbadsmetod kan ha en positiv påverkan på begreppsförståelse. Den fokuserar på detkomplexa sambandet mellan flerspråkig pedagogik och dess inverkan på begreppsförvärv.Genom att använda exempel från språkbadsmetoden, testar denna studie hypotesen attspråkbadspedagogik ger en icke försumbar effekt på kreativt tänkande, men viktigast av allt,på konceptualisering av ämnesmässiga innehåll. Genom en noggrann diskussion om vilkenmetod som används har en empirisk analys gjorts ur tre perspektiv: en teoretisk analys avlitteraturen i ämnet, en intervjustudie med fyra semi-strukturerade lärarintervjuer och enenkätstudie där fler än 80 elever mellan årskurs 7 och 9 fick i uppdrag att besvara en enkät för att testa några av de iakttagelser som gjorts av de intervjuade. Syftet med denna forskning är att ta fram en empirisk kvalitativ innehållsanalys baserad på exempel från de intervjuades påståenden och därigenom utveckla en djupare förståelse om begreppsförvärv och hur detta yttrar sig i en stimulerande flerspråkig undervisningsmiljö. Vidare är syftet med denna studie att fastställa om BMSL okonventionella språkbadspedagogiks påverkan på begreppsförvärv kan vara orsaken till skolans höga poäng i de svenska nationella proven i matematik, engelska, svenska, NO och SO i årskurs 9 under de senaste åren. Analysen har lett till slutsatsen att flerspråkiga pedagogiska metoder som BMSL:s språkbadsmetod kan ha en mycket positiv inverkan på elevernas förmåga att tillgodogöra sig begrepp. Analysen hardessutom genererat nya hypoteser som kan utgöra grund för ytterligare fördjupande forskning inom specifika ämnen såsom språkbadsmetodens inverkan på elevens kreativitet,demokratisering av klassrummet, interkulturell medvetenhet och kognitiv utveckling. Denbidrar också till ett nytt kompetensutvecklingsperspektiv och samarbetsperspektiv för enpositiv utveckling av svenska läroplanens pedagogiska lärandemål.
This research focuses on the complex relationship between multilingual immersionpedagogy and its impact on concept acquisition (begrepp). By using the example of BilingualMontessori School of Lund (BMSL)'s språkbad method, this study tests the hypothesis thatmultilingual immersion pedagogy produces a non-negligible impact on creative thinking, butmost importantly, on the conceptualization of topic-specific content. With a careful reflectionon the method used, an empirical analysis has been made from three perspectives: atheoretical analysis of the literature on the subject, an interview study with four semistructured interviews with teachers, and a survey-based study where more than 80 students in grades 7 to 9 were given the task of answering a questionnaire to test some of the observations made by the interviewees. The purpose of this research is to produce an empirical qualitative content analysis based on examples taken from the interviewees’testimonies to develop a deeper understanding about concept acquisition and the way itmanifests itself in a stimulating multilingual immersion teaching environment. Furthermore,the aim of this study is to establish if BMSL’s unconventional multilingual immersionpedagogy’s impact on concept acquisition can be the reason for the school’s outstandinglyhigh scores in the Swedish National Tests in Maths, English, Swedish, NO and SO in grade 9over the past few years. Nevertheless, the analysis led to the conclusion that multilingualimmersion methods like the BMSL språkbad method can have a very positive impact onstudents' ability to assimilate concepts, but also helped generate thesis-seeking rather thanthesis-supporting observations about its impact on the students’ creativity, classroomdemocratization, intercultural-awareness and cognitive development. It also highlights thepedagogical collaboration and competence development perspective promoted by theSwedish National Curriculum for Compulsory School Lgr 11.
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Cantoni, Maria Lucia Righetti. "Transferência reversa de conhecimento em multinacionais estrangeiras no Brasil : uma análise multidimensional." Escola Superior de Propaganda e Marketing, 2018. http://tede2.espm.br/handle/tede/303.

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This work investigates the phenomenon of the reverse transfer of knowledge in subsidiaries with a multidimensional approach. The main objective is to verify in an empirical way if the strategies and actions of marketing, autonomy and integration of marketing has influence in the reverse knowledge transfer in the foreign multinationals enterprises located in Brazil. As control it was verify the time of international experience and the type of industry can be influence the reverse knowledge transfer. To test the hypotheses, a survey was conducted with managers of 104 subsidiaries of foreign multinationals located in Brazil. The data were analyzed by multiple linear regression and cluster analysis. To deepen the analysis, the empirical part also includes qualitative exploratory research through of the multiple case study with three subsidiaries of foreign multinationals. The results in both empirical researches show that product innovation and the integration between subsidiary and headquarter have a positive effect on the reverse knowledge transfer. This study contributes for academic paradox showing elements to the view of authors and refutes other theoretical perspectives, such as Rugman (2009), Narula (2006), Dunning (1988) and Dunning and Narula (1996) and Ghauri et al (2016) and Yip (1995). Managerially, this work deepens the factors that determine the reverse knowledge transfer like the development of innovations and the high integration between subsidiary and headquarter. Exposing to managers the importance of managing communication with the headquarter and to invest in human resources with creativity and innovation capacity. Also, it became evident that the marketing operations of foreign multinationals in Brazil are developed in the same time between subsidiary and headquarter. The results are expected to contribute to the extension of international marketing literature and provides a better understanding of the phenomenon of reverse knowledge transfer in the brazilian context.
Este trabalho investiga o fenômeno da transferência reversa de conhecimento em subsidiárias com uma abordagem multidimensional. O objetivo principal é verificar de modo empírico se as estratégias e ações de marketing, a autonomia e a integração de marketing influenciam na transferência reversa de conhecimento em multinacionais estrangerias no Brasil. Como controle verifica-se se o tempo de experiência internacional e o tipo de indústria influenciam na transferência reversa de conhecimento. Para testar as hipóteses apresenta-se uma survey com gestores de 104 subsidiárias de multinacionais estrangeiras localizadas no Brasil. Os dados foram analisados por meio de regressão linear múltipla e análise de conglomerados. Para aprofundar as análises, a parte empírica inclui também pesquisa qualitativa exploratória realizada por meio de estudo de caso múltiplo realizada com três subsidiárias de multinacionais estrangeiras. Os resultados em ambas pesquisas empíricas demostram que inovação de produto e a integração entre subsidiária e matriz possuem efeito positivo na transferência reversa de conhecimento. No que se refere a paradoxo acadêmico, este estudo contribui sustentando a visão de autores e refutando outras óticas teóricas, como Rugman (2009), Narula (2006), Dunning (1988) e Dunning e Narula (1996) e Ghauri et al (2016) e Yip (1995). Gerencialmente, este trabalho aprofunda os fatores que determinam a transferência reversa de conhecimentos, o desenvolvimento de inovações e a alta integração com a matriz. Expondo aos gestores a importância de gerir a comunicação com a matriz e investir em recursos humanos com criatividade e capacidade de inovação. Ainda, ficou evidente que as operações de marketing de multinacionais estrangeiras no país são desenvolvidas de forma dividida entre matriz e subsidiária. Espera- se com os resultados contribuir para a extensão da literatura de marketing internacional e para uma melhor compreensão acerca do fenômeno transferência reversa de conhecimento no contexto brasileiro.
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Maehler, Alisson Eduardo. "Transferência de conhecimento em multinacionais : uma análise multidimensional de casos de empresas brasileiras no mercado português." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/36722.

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Para as empresas multinacionais, transferir conhecimento disperso em diferentes localidades ao redor do globo, de modo rápido e eficiente, tem sido, ao mesmo tempo, uma vantagem e uma necessidade constante (KOGUT e ZANDER, 1993). Nos últimos anos, têm se intensificado os debates acerca do tema, em especial na área de gestão internacional. Além disso, há um aumento considerável no número de empresas brasileiras atuando no exterior e uma maior importância das multinacionais de países emergentes (GUILLEN e GARCIACANAL, 2009). No entanto, apesar de terem sido registrados inúmeros avanços, esses dois fenômenos - aumento do número de multinacionais de países emergentes ou em desenvolvimento e a acentuada discussão sobre a transferência de conhecimento em multinacionais - ainda apresentam uma série de questões não respondidas, além de haver uma série de conceitos, taxonomias e modelos sobre os quais se necessita avançar, pois o tema é cada vez mais importante e emergente (FOOS et al. 2010). Nesse sentido, nesta tese, procurase analisar como ocorre o processo de transferência de conhecimento das multinacionais brasileiras para suas unidades localizadas no exterior e vice-versa, através da análise da estratégia internacional e de uma visão multidimensional, que inclui as dimensões organizacional, pessoal e tecnológica, utilizando como aparato teórico a estratégia internacional e a Visão da Firma Baseada em Recursos – VBR. Através de abordagem qualitativa e do método estudo de caso foram pesquisados quatro grupos multinacionais sediados no Brasil e com operações em Portugal - país com quem o Brasil possui uma intensa e histórica relação comercial. Para análise dos dados, foi utilizada a técnica de análise de conteúdo. Ao todo, foram entrevistados 23 executivos ligados às áreas de recursos humanos, sistemas de informação e comercial/internacional, das matrizes e das filiais, e três especialistas foram consultados para a validação do roteiro de entrevistas. Os resultados evidenciam um aumento dos investimentos de multinacionais brasileiras no exterior, sobretudo em países emergentes. Também é possível ressaltar que em Portugal a entrada se deu principalmente via aquisições e Green fields. As filiais nesse país são, sobretudo, contribuidoras especializadas e a integração global vem ocorrendo, ainda que não de forma totalmente efetiva, sendo frequente a troca de conhecimento entre essas unidades e a sede no Brasil. No que tange à dimensão organizacional, observou-se que a geração de inovações é frequente nos grupos pesquisados e se dá, sobretudo, por meio da análise do mercado, amparada fortemente no conhecimento disponível na matriz. O tempo é um fator fundamental e há a visão de que o conhecimento é um recurso estratégico, embora isso não esteja totalmente claro. Na dimensão pessoal, observou-se que o expatriamento de executivos é muito maior do que o impatriamento, e que existe a prática de job rotation e formação de equipes, embora esta última numa frequência não tão grande quanto o esperado. A realização de reuniões é frequente, mas não existe apoio financeiro para a troca de conhecimento. Por fim, na dimensão tecnológica, observou-se a importância das tecnologias de comunicação e informação como forma de redução de custos e de aumento da conectividade. Há uma considerável base de conhecimento nos grupos multinacionais e boas relações com universidades e centros de pesquisa.
For multinational companies the act of transferring knowledge, quickly and efficiently, diffuse in different locations around the globe, has been both an advantage and a constant need (KOGUT; ZANDER, 1993). In recent years, the debate about this theme has been intensified, particularly in the international management field. In addition, there is an increase in the number of Brazilian companies operating abroad and a rise of importance of multinationals from emerging countries (GUILLEN; GARCIA-CANAL, 2009). However, despite having been registered numerous advances, these two phenomena – the increasing number of multinationals from emerging and developing countries and the discussion about the knowledge transfer in multinational companies – still present some unanswered questions. The existence of concepts, taxonomies and a variety of models which demonstrates a need to advance shows how important and emerging the theme is (FOOS et al. 2010). In this sense, this thesis aims to analyze how the process of knowledge transfer from Brazilian’s multinational to their units located abroad and vice versa happens. This will be made through the analysis of international acting and multidimensional view, which includes the organizational, personal and technological dimensions, using the Vision of the Resource- Based Firm - VBR and the international strategy as theoretical apparatus. Based on a qualitative approach, the case study method will be used, analyzing four multinational groups based in Brazil with operations in Portugal, a country which Brazil has an intense and historical trade relationship. Data were analyzed through the technique of content analysis. In this sense, 23 executives were interviewed, from the areas of human resources, information systems and commercial / international, from headquarters and subsidiaries, and three experts were consulted for validation of the interview script. The results show the increase in investments of Brazilian multinationals abroad, especially in emerging countries. In Portugal this expansion was mainly by green fields operations and through acquisitions. The subsidiaries in this country are mainly specialist contributors, while global integration is happening, even though not totally effective, with frequent exchange of knowledge between units and headquarters in Brazil. Regarding the organizational dimension, it was observed that the generation of innovations is frequent in the groups analyzed, and it occurs mainly through market analysis, being strongly supported by the knowledge available in headquarter. Time is a key factor and there is a view that knowledge is a strategic resource, although this is not entirely clear. It is noted that in the personal dimension the expatriation of executives is much higher than impatriation, there is the practice of job rotation and teams formation, although the latter at a frequency not as large as expected. Meetings are common, but there is no financial support for the exchange of knowledge. Finally, in the technological dimension we noted the importance of communication and information technologies as a way of reducing costs and increasing connectivity. There is a considerable knowledge base in the multinational groups and good relations with universities and research centers.
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Books on the topic "Multidimensional knowledge"

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G, Petr Christopher, ed. Multidimensional evidence-based practice: Synthesizing knowledge, research and values. New York: Haworth Press, 2007.

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Varlamov, Oleg. 18 examples of mivar expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1248446.

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Many years of research on mivar technologies of logical artificial intelligence have allowed us to create a new powerful, versatile and fast tool, which is called "multidimensional open gnoseological active net" — "multidimensional open gnoseological active net: MOGAN". This tool allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format, and it can be used to model cause-and-effect relationships in different subject areas and create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with "Big Knowledge". The reader, after studying this tutorial, you will be able to create mivar expert system with the help of CASMI Wi!Mi. Designed for students, bachelors, masters and postgraduate students studying artificial intelligence methods, as well as for users, experts and specialists, creating a system of information processing and management, mivar models, expert systems, automated control systems, systems of decision support and Recommender systems.
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Varlamov, Oleg. Mivar databases and rules. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1508665.

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The multidimensional open epistemological active network MOGAN is the basis for the transition to a qualitatively new level of creating logical artificial intelligence. Mivar databases and rules became the foundation for the creation of MOGAN. The results of the analysis and generalization of data representation structures of various data models are presented: from relational to "Entity — Relationship" (ER-model). On the basis of this generalization, a new model of data and rules is created: the mivar information space "Thing-Property-Relation". The logic-computational processing of data in this new model of data and rules is shown, which has linear computational complexity relative to the number of rules. MOGAN is a development of Rule - Based Systems and allows you to quickly and easily design algorithms and work with logical reasoning in the "If..., Then..." format. An example of creating a mivar expert system for solving problems in the model area "Geometry"is given. Mivar databases and rules can be used to model cause-and-effect relationships in different subject areas and to create knowledge bases of new-generation applied artificial intelligence systems and real-time mivar expert systems with the transition to"Big Knowledge". The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
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Varlamov, Oleg. Fundamentals of creating MIVAR expert systems. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1513119.

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Methodological and applied issues of the basics of creating knowledge bases and expert systems of logical artificial intelligence are considered. The software package "MIV Expert Systems Designer" (KESMI) Wi!Mi RAZUMATOR" (version 2.1), which is a convenient tool for the development of intelligent information systems. Examples of creating mivar expert systems and several laboratory works are given. The reader, having studied this tutorial, will be able to independently create expert systems based on KESMI. The textbook in the field of training "Computer Science and Computer Engineering" is intended for students, bachelors, undergraduates, postgraduates studying artificial intelligence methods used in information processing and management systems, as well as for users and specialists who create mivar knowledge models, expert systems, automated control systems and decision support systems. Keywords: cybernetics, artificial intelligence, mivar, mivar networks, databases, data models, expert system, intelligent systems, multidimensional open epistemological active network, MOGAN, MIPRA, KESMI, Wi!Mi, Razumator, knowledge bases, knowledge graphs, knowledge networks, Big knowledge, products, logical inference, decision support systems, decision-making systems, autonomous robots, recommendation systems, universal knowledge tools, expert system designers, logical artificial intelligence.
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Petr, Christopher G. Multidimensional Evidence-Based Practice: Synthesizing Knowledge, Research, and Values. Taylor & Francis Group, 2008.

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Petr, Christopher G. Multidimensional Evidence-Based Practice: Synthesizing Knowledge, Research, and Values. Taylor & Francis Group, 2008.

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Petr, Christopher G. Multidimensional Evidence-Based Practice: Synthesizing Knowledge, Research, and Values. Taylor & Francis Group, 2008.

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Gould, David M., and Georgi Panterov. Multidimensional Connectivity: Why the Interplay of International Connections Matters for Knowledge Transfers. Elsevier, 2017. http://dx.doi.org/10.1596/29149.

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Ashby, F. Gregory, and Fabian A. Soto. Multidimensional Signal Detection Theory. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.2.

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Multidimensional signal detection theory is a multivariate extension of signal detection theory that makes two fundamental assumptions, namely that every mental state is noisy and that every action requires a decision. The most widely studied version is known as general recognition theory (GRT). General recognition theory assumes that the percept on each trial can be modeled as a random sample from a multivariate probability distribution defined over the perceptual space. Decision bounds divide this space into regions that are each associated with a response alternative. General recognition theory rigorously defines and tests a number of important perceptual and cognitive conditions, including perceptual and decisional separability and perceptual independence. General recognition theory has been used to analyze data from identification experiments in two ways: (1) fitting and comparing models that make different assumptions about perceptual and decisional processing, and (2) testing assumptions by computing summary statistics and checking whether these satisfy certain conditions. Much has been learned recently about the neural networks that mediate the perceptual and decisional processing modeled by GRT, and this knowledge can be used to improve the design of experiments where a GRT analysis is anticipated.
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Petr, Christopher G. Multidimensional Evidence-Based Practice: Synthesizing Knowledge, Research, and Values. Social Work Practice in Action. Taylor & Francis Group, 2009.

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Book chapters on the topic "Multidimensional knowledge"

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Atigui, Faten, Franck Ravat, Jiefu Song, and Gilles Zurfluh. "Reducing Multidimensional Data." In Data Warehousing and Knowledge Discovery, 208–20. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10160-6_19.

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Giacometti, Arnaud, Patrick Marcel, and Elsa Negre. "Recommending Multidimensional Queries." In Data Warehousing and Knowledge Discovery, 453–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03730-6_36.

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Annoni, Estella, Franck Ravat, Olivier Teste, and Gilles Zurfluh. "Towards Multidimensional Requirement Design." In Data Warehousing and Knowledge Discovery, 75–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11823728_8.

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Romero, Oscar, and Alberto Abelló. "Multidimensional Design by Examples." In Data Warehousing and Knowledge Discovery, 85–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11823728_9.

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Albrecht, J., H. Günzel, and W. Lehner. "Set-Derivability of Multidimensional Aggregates." In DataWarehousing and Knowledge Discovery, 133–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48298-9_15.

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Trosset, Michael W. "Numerical Algorithms for Multidimensional Scaling." In Classification and Knowledge Organization, 80–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59051-1_9.

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Ravat, Franck, Olivier Teste, and Gilles Zurfluh. "A Multiversion-Based Multidimensional Model." In Data Warehousing and Knowledge Discovery, 65–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11823728_7.

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Blaschka, Markus, Carsten Sapia, and Gabriele Höfling. "On Schema Evolution in Multidimensional Databases." In DataWarehousing and Knowledge Discovery, 153–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48298-9_17.

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Haan, H., J. Timmer, R. Mathar, and J. Krüger. "Multidimensional Scaling: Analyzing Multineuronal Spike Patterns." In Classification and Knowledge Organization, 15–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59051-1_2.

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Rehm, F., F. Klawonn, and R. Kruse. "Density-Based Multidimensional Scaling." In Studies in Classification, Data Analysis, and Knowledge Organization, 53–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00668-5_5.

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Conference papers on the topic "Multidimensional knowledge"

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Ribeiro, Marcelo Gonçalves, and Julie de Araujo Pires. "Tipografia Multidimensional." In XVII Conference of the Iberoamerican Society of Digital Graphics - SIGraDi: Knowledge-based Design. São Paulo: Editora Edgard Blücher, 2013. http://dx.doi.org/10.5151/despro-sigradi2013-0126.

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Romero, Oscar. "Session details: Multidimensional querying." In CIKM '09: Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3252515.

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Zimanyi, Estaban. "Session details: Multidimensional design." In CIKM '09: Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3252512.

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Zenkert, Johannes, and Madjid Fathi. "Multidimensional knowledge representation of text analytics results in knowledge bases." In 2016 IEEE International Conference on Electro Information Technology (EIT). IEEE, 2016. http://dx.doi.org/10.1109/eit.2016.7535297.

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Ben Ahmed, Eya, Ahlem Nabli, and Faiez Gargouri. "Mining cyclic association rules from multidimensional knowledge." In 2011 Sixth International Conference on Digital Information Management (ICDIM). IEEE, 2011. http://dx.doi.org/10.1109/icdim.2011.6093354.

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Wang, Jingjing, Min Li, Jiawei Han, and Xiaolong Wang. "Modeling Check-in Preferences with Multidimensional Knowledge." In WSDM 2016: Ninth ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2835776.2835839.

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Li, Yuefeng. "Interpretations of Discovered Knowledge in Multidimensional Databases." In 2007 IEEE International Conference on Granular Computing (GRC 2007). IEEE, 2007. http://dx.doi.org/10.1109/grc.2007.92.

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Li, Yuefeng. "Interpretations of Discovered Knowledge in Multidimensional Databases." In 2007 IEEE International Conference on Granular Computing (GRC 2007). IEEE, 2007. http://dx.doi.org/10.1109/grc.2007.4403115.

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Boulicaut, Jean-François, Patrick Marcel, and Christophe Rigotti. "Query driven knowledge discovery in multidimensional data." In the 2nd ACM international workshop. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/319757.319796.

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Li, Yinchuan, Xu Zhang, Zegang Ding, and Xiaodong Wang. "Compressive Multidimensional Harmonic Retrieval with Prior Knowledge." In 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2019. http://dx.doi.org/10.1109/icsidp47821.2019.9173121.

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Reports on the topic "Multidimensional knowledge"

1

Aryal, Jeetendra Prakash. Contribution of Agriculture to Climate Change and Low-Emission Agricultural Development in Asia and the Pacific. Asian Development Bank Institute, October 2022. http://dx.doi.org/10.56506/vaoy9373.

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The agriculture sector in Asia and the Pacific region contributes massively to climate change, as the region has the largest share of greenhouse gas (GHG) emissions from agriculture. The region is the largest producer of rice, a major source of methane emissions. Further, to achieve food security for the increasing population, there has been a massive increase in the use of synthetic fertilizer and energy in agricultural production in the region over the last few decades. This has led to an enormous rise in nitrous oxide (N2O; mostly from fertilizer-N use) and carbon dioxide (mostly from energy use for irrigation) emissions from agriculture. Besides this, a substantial increase in livestock production for meat and dairy products has increased methane emissions, along with other environmental problems. In this context, this study conducts a systematic review of strategies that can reduce emissions from the agriculture sector using a multidimensional approach, looking at supply-side, demand-side, and cross-cutting measures. The review found that though there are huge potentials to reduce GHG emissions from agriculture, significant challenges exist in monitoring and verification of GHG emissions from supply-side measures, shifting to sustainable consumption behavior with regard to food consumption and use, and the design and implementation of regulatory and incentive mechanisms. On the supply side, policies should focus on the upscaling of climate-smart agriculture primarily through expanding knowledge and improving input use efficiency in agriculture, while on the demand side, there is a need to launch a drive to reduce food loss and waste and also to move towards sustainable consumption. Therefore, appropriate integration of policies at multiple levels, as well as application of multiple measures simultaneously, can increase mitigation potential as desired by the Paris Agreement and also help to achieve several of the United Nations’ SDGs.
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Aryal, Jeetendra P. Contribution of Agriculture to Climate Change and Low-Emission Agricultural Development in Asia and the Pacific. Asian Development Bank Institute, October 2022. http://dx.doi.org/10.56506/wdbc4659.

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The agriculture sector in the Asia and Pacific region contributes massively to climate change, as the region has the largest share of greenhouse gas (GHG) emissions from agriculture. The region is the largest producer of rice, a major source of methane emissions. Further, to achieve food security for the increasing population, there has been a massive increase in the use of synthetic fertilizer and energy in agricultural production in the region over the last few decades. This has led to an enormous rise in nitrous oxide (N2O) (mostly from fertilizer-N use) and carbon dioxide (mostly from energy use for irrigation) emissions from agriculture. Besides this, a substantial increase in livestock production for meat and dairy products has increased methane emissions, along with other environmental problems. In this context, we conduct a systematic review of strategies that can reduce emissions from the agriculture sector using a multidimensional approach, looking at supply-side, demand-side, and cross-cutting measures. The review found that though there is a huge potential to reduce GHG emissions from agriculture, significant challenges exist in monitoring and verification of GHG emissions from supply-side measures, shifting to sustainable consumption behavior with regard to food consumption and use, and the design and implementation of regulatory and incentive mechanisms. On the supply side, policies should focus on the upscaling of climate-smart agriculture primarily through expanding knowledge and improving input use efficiency in agriculture, while on the demand side, there is a need to launch a drive to reduce food loss and waste and also to move toward sustainable consumption. Therefore, appropriate integration of policies at multiple levels, as well as application of multiple measures simultaneously, can increase mitigation potential as desired by the Paris Agreement and also help to achieve several of the United Nations’ Sustainable Development Goals.
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