Gotowa bibliografia na temat „Post-clustering”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Spis treści
Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Post-clustering”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Artykuły w czasopismach na temat "Post-clustering"
Im, Yeong-Hui. "A Post Web Document Clustering Algorithm". KIPS Transactions:PartB 9B, nr 1 (1.02.2002): 7–16. http://dx.doi.org/10.3745/kipstb.2002.9b.1.007.
Pełny tekst źródłaOng, S. H., i X. Zhao. "On post-clustering evaluation and modification". Pattern Recognition Letters 21, nr 5 (maj 2000): 365–73. http://dx.doi.org/10.1016/s0167-8655(00)00003-9.
Pełny tekst źródłaGoyal, Poonam, N. Mehala, Divyansh Bhatia i Navneet Goyal. "Topical document clustering: two-stage post processing technique". International Journal of Data Mining, Modelling and Management 10, nr 2 (2018): 127. http://dx.doi.org/10.1504/ijdmmm.2018.092536.
Pełny tekst źródłaBhatia, Divyansh, Navneet Goyal, Poonam Goyal i N. Mehala. "Topical document clustering: two-stage post processing technique". International Journal of Data Mining, Modelling and Management 10, nr 2 (2018): 127. http://dx.doi.org/10.1504/ijdmmm.2018.10013658.
Pełny tekst źródłaS, Shanmugapriyaa, Kuppusamy K.S i Aghila G. "Blosen: Blog Search Engine Based on Post Concept Clustering". International Journal of Ambient Systems and Applications 1, nr 3 (30.09.2013): 17–28. http://dx.doi.org/10.5121/ijasa.2013.1302.
Pełny tekst źródłaLee, Ki-Jun, Kyung-Min Kim, Myung-Jin Lee, Woo-Ju Kim i June-S. Hong. "Post Clustering Method using Tag Hierarchy for Blog Search". Journal of Society for e-Business Studies 16, nr 4 (30.11.2011): 301–19. http://dx.doi.org/10.7838/jsebs.2011.16.4.301.
Pełny tekst źródłaLiu, Suyuan, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang i Feng Gao. "Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 7 (28.06.2022): 7576–84. http://dx.doi.org/10.1609/aaai.v36i7.20723.
Pełny tekst źródłaDiCaprio, Christopher J., Mark Simons, Shelley J. Kenner i Charles A. Williams. "Post-seismic reloading and temporal clustering on a single fault". Geophysical Journal International 172, nr 2 (luty 2008): 581–92. http://dx.doi.org/10.1111/j.1365-246x.2007.03622.x.
Pełny tekst źródłaBalabaeva, Ksenia, i Sergey Kovalchuk. "Post-hoc Interpretation of Clinical Pathways Clustering using Bayesian Inference". Procedia Computer Science 178 (2020): 264–73. http://dx.doi.org/10.1016/j.procs.2020.11.028.
Pełny tekst źródłaNiemi, Arto, i Jukka Teuhola. "Burrows‐Wheeler post‐transformation with effective clustering and interpolative coding". Software: Practice and Experience 50, nr 9 (29.06.2020): 1858–74. http://dx.doi.org/10.1002/spe.2873.
Pełny tekst źródłaRozprawy doktorskie na temat "Post-clustering"
Lombardini, Alessandro. "Estrazione di Correlazioni Medicali da Social Post non Etichettati con Language Model Neurali e Data Clustering". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Znajdź pełny tekst źródłaIdoudi, Rihab. "Fouille de connaissances en diagnostic mammographique par ontologie et règles d'association". Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0005/document.
Pełny tekst źródłaFacing the significant complexity of the mammography area and the massive changes in its data, the need to contextualize knowledge in a formal and comprehensive modeling is becoming increasingly urgent for experts. It is within this framework that our thesis work focuses on unifying different sources of knowledge related to the domain within a target ontological modeling. On the one hand, there is, nowadays, several mammographic ontological modeling, where each resource has a distinct perspective area of interest. On the other hand, the implementation of mammography acquisition systems makes available a large volume of information providing a decisive competitive knowledge. However, these fragments of knowledge are not interoperable and they require knowledge management methodologies for being comprehensive. In this context, we are interested on the enrichment of an existing domain ontology through the extraction and the management of new knowledge (concepts and relations) derived from two scientific currents: ontological resources and databases holding with past experiences. Our approach integrates two knowledge mining levels: The first module is the conceptual target mammographic ontology enrichment with new concepts extracting from source ontologies. This step includes three main stages: First, the stage of pre-alignment. The latter consists on building for each input ontology a hierarchy of fuzzy conceptual clusters. The goal is to reduce the alignment task from two full ontologies to two reduced conceptual clusters. The second stage consists on aligning the two hierarchical structures of both source and target ontologies. Thirdly, the validated alignments are used to enrich the reference ontology with new concepts in order to increase the granularity of the knowledge base. The second level of management is interested in the target mammographic ontology relational enrichment by novel relations deducted from domain database. The latter includes medical records of mammograms collected from radiology services. This section includes four main steps: i) the preprocessing of textual data ii) the application of techniques for data mining (or knowledge extraction) to extract new associations from past experience in the form of rules, iii) the post-processing of the generated rules. The latter is to filter and classify the rules in order to facilitate their interpretation and validation by expert, vi) The enrichment of the ontology by new associations between concepts. This approach has been implemented and validated on real mammographic ontologies and patient data provided by Taher Sfar and Ben Arous hospitals. The research work presented in this manuscript relates to knowledge using and merging from heterogeneous sources in order to improve the knowledge management process
Ur-Rahman, Nadeem. "Textual data mining applications for industrial knowledge management solutions". Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6373.
Pełny tekst źródłaKuoman, Mamani Christian Antonio. "Diversité par clustering pour la recherche d'images : étude expérimentale". Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066361/document.
Pełny tekst źródłaConventional search engines return relevant results but often the retrieved items are similar. Moreover, the similar results tend to appear together. The user may be interested to find documents that are relevant and diverse at the same time.In this thesis, we consider the problem of the diversity in image retrieval. We have focused our attention on diversity by clustering, especially in an approach based on an agglomerative hierarchical clustering (AHC) to address the hierarchical nature of the diversity. Furthermore, we propose a novel approach for exploiting richer description resources, such as a «tree of concepts», to increase the diversity.The different approaches are compared on a highly relevant and manually annotated benchmark: the XiloDiv benchmark; and on the most general: ImageClef2008 and MediaEval2013 benchmarks. The experimental results show that a hierarchical exploitation of the results of the AHC increases the diversity in comparison with two flat clustering methods and a method of diversity by optimization. The results also show that it is better to use concept features than visual features from a diversity point of view. In addition, on the Mediaeval2013 benchmark, we show that an interesting strategy to improve diversity is to increase the relevance using the text, and then to exploit visual based clustering to diversify the results.Finally, we developed a complete prototype in particular taking into account the strong constraints of response time which makes it suitable to be used in the company's search engine
Ribchester, Christopher Brian. "Education policy and the viability of small school provision : the social significance of small primary schools in England and Wales post 1988". Thesis, Aberystwyth University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361003.
Pełny tekst źródłaFrauger-Ousset, Elisabeth. "Détournement d'usage de médicaments psychoactifs : développement d'une approche pharmacoépidémiologique". Thesis, Aix-Marseille 2, 2010. http://www.theses.fr/2010AIX20667.
Pełny tekst źródłaThis work presents the development of a new pharmacoepidemiologic method. This methodallows to estimate abuse of psychoactive prescription drugs in real life using prescriptiondatabase. The method is based on a cluster analysis which is a statistical method used todetermine, a posteriori, different subgroups of subjects. According the subgroups’characteristics, we can determine and estimate different behaviours whose subjects with adeviant behaviour. It assesses the rate of subjects with a deviant behaviour among all thesubjects that obtain the drug from a pharmacy.We used this method on several prescription drugs. For each prescription drug, we includedall individuals, affiliated to the French health reimbursement system of two southern Franceareas (Provence-Alpes-Côte-d’Azur and Corsica), who have had a prescription drugreimbursed during the first weeks of the year. Their deliveries have been monitored over a 9month-period. After a descriptive analysis, a clustering method has been used. The fourquantitative variables used to establish profiles of consumers were : number of differentprescribers, number of different pharmacies, number of dispensings and quantity dispensed(DDD). Finally, the characteristics of different subgroups have been presented, especiallythose with a deviant behavior.The first study using this method allows to confirm and assess the magnitude of the abuseliability of an emerging prescription drug as clonazepam (publication n°1). Then we adapt thismethod in order to follow the abuse evolution during several years. In the second publicationon clonazepam, we identified that the proportion of deviant subjects has increased between2001 and 2006 (from 0.86% to 1.38%). We also applied this method to estimatemethylphenidate abuse during several years (from 2005 to 2008) (publication n°3).Methylphenidate abuse is already describe in other countries whereas few data are available inFrance. This study estimates the proportion of subjects with a deviant behaviour (from 0.5%9in 2005 and in 2006 to 2.0% in 2007 and 1.2% in 2008) and assesses its evolution since theapplication of a specific regulation.Our research team has also developed an other method using prescription database : thedoctor shopping indicator which measures the quantity obtained by doctor shopping amongthe overall quantity reimbursed (publication n°4). The objective of the last publication is toanalyze and compare results from those two methods applied to High Dosage Buprenorphine,a product well-known to be diverted in France.Actually, clustering method is more and more used on prescription drugs in order to assesstheir abuse. The results obtained by this method begin to be included in the other postmarketing surveillance of CNS drugs (OSIAP, OPPIDUM, OPEAM, ASOS, DRAMES)which are used by French public health authorities
Pons, Nicolas. "Réseau de régulation de l'expression des gènes : Détection de motifs et intégration de données génomiques et post-génomiques : Application chez les streptocoques". Paris 11, 2007. http://www.theses.fr/2007PA112062.
Pełny tekst źródłaModelling the transcriptional regulatory networks allow to set insights in the adaptation mechanisms of living organisms to environmental changes. Here, we propose to build the topological structure of gene expression regulatory networks through the characterization of DNA binding sites. The motif detection is based on bioinformatic approaches combining transcription global analyses (intragenomic approach) and genome comparisons (intergenomic approach). The intragenomic approach consists of comparing upstream sequences of coregulated genes according to transcriptomic data. On the other intergenomic approach, the upstream sequences of orthologous genes are compared. This lies on the expectation that regulatory schemes are conserved between orthologous genes of phylogenetically close bacteria. To build up the orthologous classification, we have developed an original algorithm called Scissors. The algorithm has been optimized to exclude paralogous genes. Scissors has been validated on synthetic genome banks as well as by biological expertise. In order to facilitate the integration of these two approaches, we developed the plateform called iMOMi composed of relational database and a set of software dedicated to the detection of regulatory motifs. The plateform has been used in the experimental studiefds of regulation of several metabolisms in Lactococcus lactis IL1403 as well as Streptococcaea and Firmicutes. The biological relevance of iMOMi has been validated by the DNA binding site characterization of CodY, FruR and FhuR regulators
Vaerenbergh, Steven Van. "Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals". Doctoral thesis, Universidad de Cantabria, 2010. http://hdl.handle.net/10803/10673.
Pełny tekst źródłaIn the last decade, kernel methods have become established techniques to perform nonlinear signal processing. Thanks to their foundation in the solid mathematical framework of reproducing kernel Hilbert spaces (RKHS), kernel methods yield convex optimization problems. In addition, they are universal nonlinear approximators and require only moderate computational complexity. These properties make them an attractive alternative to traditional nonlinear techniques such as Volterra series, polynomial filters and neural networks.This work aims to study the application of kernel methods to resolve nonlinear problems in signal processing and communications. Specifically, the problems treated in this thesis consist of the identification and equalization of nonlinear systems, both in supervised and blind scenarios, kernel adaptive filtering and nonlinear blind source separation.In a first contribution, a framework for identification and equalization of nonlinear Wiener and Hammerstein systems is designed, based on kernel canonical correlation analysis (KCCA). As a result of this study, various other related techniques are proposed, including two kernel recursive least squares (KRLS) algorithms with fixed memory size, and a KCCA-based blind equalization technique for Wiener systems that uses oversampling. The second part of this thesis treats two nonlinear blind decoding problems of sparse data, posed under conditions that do not permit the application of traditional clustering techniques. For these problems, which include the blind decoding of fast time-varying MIMO channels, a set of algorithms based on spectral clustering is designed. The effectiveness of the proposed techniques is demonstrated through various simulations.
Lee, Ickjai Lee. "Multi-Purpose Boundary-Based Clustering on Proximity Graphs for Geographical Data Mining". Thesis, 2002. http://hdl.handle.net/1959.13/25012.
Pełny tekst źródłaPhD Doctorate
Lee, Ickjai Lee. "Multi-Purpose Boundary-Based Clustering on Proximity Graphs for Geographical Data Mining". 2002. http://hdl.handle.net/1959.13/25012.
Pełny tekst źródłaPhD Doctorate
Książki na temat "Post-clustering"
Schwartz, Carolyn Susan. A study of the application of post-retrieval clustering in bibliographic databases. Ann Arbor, Mich: University Microfilms International, 1986.
Znajdź pełny tekst źródłaA, Ohnishi, red. Proceedings of the International Symposium on Clustering Aspects of Quantum Many-Body Systems: Post-symposium of YKIS01, Kyoto, Japan, 12-14 November 2001. River Edge, N.J: World Scientific, 2002.
Znajdź pełny tekst źródłaZhiming, Bao. The Systemic Nature of Substratum Transfer. Redaktorzy Markku Filppula, Juhani Klemola i Devyani Sharma. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199777716.013.024.
Pełny tekst źródłaCzęści książek na temat "Post-clustering"
Nghiem, Nguyen-Viet-Dung, Christel Vrain, Thi-Bich-Hanh Dao i Ian Davidson. "Constrained Clustering via Post-processing". W Discovery Science, 53–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61527-7_4.
Pełny tekst źródłaWolfram, Dietmar. "Clustering for Post Hoc Information Retrieval". W Encyclopedia of Database Systems, 1–5. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_950-2.
Pełny tekst źródłaWolfram, Dietmar. "Clustering for Post Hoc Information Retrieval". W Encyclopedia of Database Systems, 375–78. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_950.
Pełny tekst źródłaWolfram, Dietmar. "Clustering for Post Hoc Information Retrieval". W Encyclopedia of Database Systems, 484–88. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_950.
Pełny tekst źródłaIm, Younghee, Jiyoung Song i Daihee Park. "Fuzzy Post-clustering Algorithm for Web Search Engine". W Information Retrieval Technology, 709–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562382_72.
Pełny tekst źródłaInoue, Masashi, i Piyush Grover. "Query Types and Visual Concept-Based Post-retrieval Clustering". W Lecture Notes in Computer Science, 661–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04447-2_83.
Pełny tekst źródłaGiancarlo, Raffaele, Giosué Lo Bosco, Luca Pinello i Filippo Utro. "The Three Steps of Clustering In The Post-Genomic Era". W Biological Knowledge Discovery Handbook, 519–56. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118617151.ch22.
Pełny tekst źródłaJothi, R., Sraban Kumar Mohanty i Aparajita Ojha. "On the Impact of Post-clustering Phase in Multi-way Spectral Partitioning". W Mining Intelligence and Knowledge Exploration, 161–69. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26832-3_16.
Pełny tekst źródłaChen, Yimeng, Yan Dong, Emmanuelle Marquis, Zhijie Jiao, Justin Hesterberg, Gary Was i Peter Chou. "Solute Clustering in As-irradiated and Post-irradiation-Annealed 304 Stainless Steel". W The Minerals, Metals & Materials Series, 2189–207. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-030-04639-2_147.
Pełny tekst źródłaChen, Yimeng, Yan Dong, Emmanuelle Marquis, Zhijie Jiao, Justin Hesterberg, Gary Was i Peter Chou. "Solute Clustering in As-irradiated and Post-irradiation-Annealed 304 Stainless Steel". W The Minerals, Metals & Materials Series, 973–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68454-3_71.
Pełny tekst źródłaStreszczenia konferencji na temat "Post-clustering"
Das, Joydip, Steven J. E. Wilton, Philip Leong i Wayne Luk. "Modeling post-techmapping and post-clustering FPGA circuit depth". W 2009 International Conference on Field Programmable Logic and Applications (FPL). IEEE, 2009. http://dx.doi.org/10.1109/fpl.2009.5272315.
Pełny tekst źródłaPham, Duc-Son, Ognjen Arandjelovic i Svetha Venkatesh. "Achieving stable subspace clustering by post-processing generic clustering results". W 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727496.
Pełny tekst źródłaBaronti, Flavio, Alessandro Passaro i Antonina Starita. "Post-processing clustering to reduce XCS variability". W the 2005 workshops. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1102256.1102272.
Pełny tekst źródłaKumara, Banage T. G. S., Incheon Paik, Hiroki Ohashi, Wuhui Chen i Koswatte R. C. Koswatte. "Context Aware Post-filtering for Web Service Clustering". W 2014 IEEE International Conference on Services Computing (SCC). IEEE, 2014. http://dx.doi.org/10.1109/scc.2014.65.
Pełny tekst źródła"POST-PROCESSING ASSOCIATION RULES WITH CLUSTERING AND OBJECTIVE MEASURES". W 13th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003457500540063.
Pełny tekst źródłaKumar, Sarvesh, S. K. Jain i R. M. Sharma. "Diversification of web search results using post-retrieval clustering". W 2014 International Conference on Computer and Communication Technology (ICCCT). IEEE, 2014. http://dx.doi.org/10.1109/iccct.2014.7001460.
Pełny tekst źródłaIchihashi, Hidetomo, Katsuhiro Honda, Naho Kuwamoto i Takao Hattori. "Post-supervised Fuzzy c-Means Classifier with Hard Clustering". W 2007 IEEE Symposium on Computational Intelligence and Data Mining. IEEE, 2007. http://dx.doi.org/10.1109/cidm.2007.368928.
Pełny tekst źródłaAskar, Ahmed, i Andreas Zuefle. "Clustering of Adverse Events of Post-Market Approved Drugs". W SSTD '21: 17th International Symposium on Spatial and Temporal Databases. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469830.3470903.
Pełny tekst źródłaYoskai, Pitipat, i Sukree Sinthupinyo. "Prediction of Post likes Using Clustering and Regression Technique". W 2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2018. http://dx.doi.org/10.1109/ecai.2018.8678984.
Pełny tekst źródłaHan, Junwei, Kai Xiong i Feiping Nie. "Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/251.
Pełny tekst źródła