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Knowledge organization literature. Selected items
Your search for
class 252 Cluster Analysis
found the 55 items below.
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Items on this class as the base theme
Hagedorn, K., Chapman, S. Enhancing search and browse using automated clustering of subject metadata (Lang.: eng). - In: D-Lib Magazine, 13(2007)7/8. Available at Jacsó, P. Clustering search results. Part 1: Web-wide search engines (Lang.: eng). - In: Online Information Review, 31(2007)1, p.85-91. Kostoff, R.N. et al. Clustering methodologies for identifying country core competencies (Lang.: eng). - In: Journal of Information Science, 33(2007)1, p.21-40. Cathey, R.J. et al. Exploiting parallelism to support scalable hierarchical clustering (Lang.: eng). - In: Journal of the American Society for Information Science and Technology, 58(2007)8, p.1207-1222. Dunlavy, D.M. et al. QCS: a system for querying, clustering and summarizing documents (Lang.: eng). - In: Information Processing & Management, 43(2007)6, p.1588-1605. Hao, P. Y., Chiang, J. H., Tu, Y. K. Hierarchically SVM classification based on support vector clustering method and its application to document categorization (Lang.: eng). - In: Expert Systems with Applications, 33(2007)3, pp.627-635. Mecca, G., Raunich, S., Pappalardo, A. A new algorithm for clustering search results (Lang.: eng). - In: Data & Knowledge Engineering, 62(2007)3, pp.504-522. Rigouste, L., Cappe, O., Yvon, F. Inference and evaluation of the multinomial mixture model for text (Lang.: eng). - In: Information Processing & Management, 43(2007)5, pp.1260-1280. Rooney, N. et al. An investigation into the stability of contextual document clustering (Lang.: eng). - In: Journal of the American Society for Information Science & Technology, 59(2008)2, pp.256-266. Dang, E.K.F., Luk, R.W.P., Ho, K.S., Chan, S.C.F., Lee, D.I. A new measure of clustering effectiveness: algorithms and experimental studies (Lang.: eng). - In: Journal of the American Society for Information Science & Technology, 59(2008)3, p.390-416. Kim, H., Seo, J. Cluster-based FAQ retrieval using latent term weights (Lang.: eng). - In: IEEE Intelligent Systems, 23(2008)2, p.58-65. Khoo, Christopher S.G., Ou, Shiyan. Machine versus human clustering of concepts across documents (Lang.: eng). - In: Culture and identity in knowledge organization [see 2009-0262], pp. 333-339. Kurland, Oren. Re-ranking search results using language models of query-specific clusters (Lang.: eng). - In: Information retrieval, 12(2009)4, pp.437-460. Srinivasan, R., Pepe, A., Rodriguez, M.A. A clustering-based semi-automated technique to build cultural ontologies (Lang.: eng). - In: Journal of the American Society for Information Science and Technology 60(2009)3, pp. 608-620. Cao, Y., Jiang, T., Girke, T. Accelerated similarity searching and clustering of large compound sets by geometric embedding and locality sensitive hashing (Lang.: eng). - In: Bioinformatics, 26(2010)7, pp. 953-959. Pessiot, J. F. et al. Improving document clustering in a learned concept space (Lang.: eng). - In: Information processing and management 46(2010)2, pp. 180-192. Seshadri, K., Iyer, K. V. . Parallelization of a dynamic SVD clustering algorithm and its application in information retrieval (Lang.: eng). - In: Software practice and experience, 40(2010)10, pp. 883-896 . Bin, Shen, Min, Yao, Yanbin, Liu. [Association rules clustering method based on fuzzy taxonomy with semantic information] (Lang.: chi). - In: Journal of the China Society for Scientific and Technical Information, 29(2010)2, pp. 246-253. Jianxiang, Wei, Yuehong, Sun, Xinning, Su. [A document clustering algorithm using particle swarm optimization] (Lang.: eng). - In: Journal of the China Society for Scientific and Technical Information, 29(2010)3, pp. 428-432. Najadat, Hassan, Obeidat, Rasha, Hmeidi, Ismail. Clustering generalised instances set approaches for text classification (Lang.: eng). - In: Journal of information & knowledge management, 10(2011)1, pp. 91-107. Manjunath, S., Harish, B. S. Guru, D. S. Dissimilarity based feature selection for text classification: a cluster based approach (Lang.: eng). - In: ICWET '11 Proceedings of the International Conference & Workshop on Emerging Trends in Technology, New York, 2011. Available at Ghaemi, Reza et al. A review: accuracy optimization in clustering ensembles using genetic algorithms (Lang.: eng). - In: Artificial intelligence review, 35(2011)4, pp. 287-318. Bin, Xu, Yufeng, Zhang. [Research on clustering algorithm for the Chinese comment text polarity based on semantic criterion function] (Lang.: chi). - In: Journal of the China Society for Scientific and Technical Information, 30(2011)5, pp. 451-455. Lee, Ingyu, On, Byung-Won. An effective web document clustering algorithm based on bisection and merge (Lang.: eng). - In: Artificial intelligence review, 36(2011)1, pp. 69-85. Popescu, Marius, Hristea, Florentina. State of the art versus classical clustering for unsupervised word sense disambiguation (Lang.: eng). - In: Artificial intelligence review, 35(2011)3, pp. 241-264. Xiuyan, Wang, Lei, Cui. [Cluster analysis of retrieved results for specific subjects based on text topic similarity] (Lang.: chi). - In: Journal of the China Society for Scientific and Technical Information, 30(2011)5, pp. 456-463. Ying, Yang, Lei, Cui. [Comparison of subject structure visualization based on co-word analysis] (Lang.: chi). - In: Journal of the China Society for Scientific and Technical Information, 30(2011)10, pp. 1115-1120. France, S. L., Douglas Carroll, J., Xiong, H. Distance metrics for high dimensional nearest neighborhood recovery: compression and normalization (Lang.: eng). - In: Information sciences, 184(2012)1, pp. 92-110. Isa, D., Kallimani, V.P., Lee, L.H. Using the self organizing map for clustering of text documents (Lang.: eng). - In: Expert systems with applications, 39(2012)2, pp. 9584-9591. Joly, S.. Three-way distances (Lang.: eng). - In: J.Classif. Vol. 12, No. 2. 1995. p.191-205. Afonso, Alexandre Ribeiro. B2: um sistema para indexaΓΒ§ΓΒ£o e agrupamento de artigos cientΓΒficos em portuguΓΒͺs brasileiro utilizando computaΓΒ§ΓΒ£o evolucionΓΒ‘ria [B2: a system for indexing and clustering of scientific papers written in Brazilian Portuguese through the evolucionary computation] (Lang.: por). - BrasΓΒlia, Distrito Federal, Brasil, Universidade de BrasΓΒlia, 2014. Available at Murtagh, F.; Hernandez-Pajares, M.. The Kohonen self-organizing map method: an assessment (Lang.: eng). - In: J. Classif. Vol. 12, No. 2. 1995. p.165-190. [Association rules clustering method based on fuzzy taxonomy with semantic information] (Lang.: chi). - In: Journal of the China Society for Scientific and Technical Information, 29(2010)2, pp. 246-253. Bote, V.P.G., de Moya Anegon, ., Solana, V.H. Document organization using Kohonen's algorithm (Lang.: eng). - In: Information processing and management, 38(2002)1, p.79-89. Fanizzi, Nicola, d’Amato, Claudia, Esposito, Floriana. Metric-based stochastic conceptual clustering for ontologies (Lang.: eng). - In: Information systems, 34(2009)8, pp. 725-739. Song, W., Li, C. H., Park, S. C. Genetic algorithm for text clustering using ontology and evaluating the validity of various semantic similarity measures (Lang.: eng). - In: Expert systems with applications, 39(2012)2, pp. 9095-9104. Chen, Tao; Lin, Jie; Luo, Xianchun. [Research on evaluation method for automated construction of Chinese thesaurus based on perplexity ] (Lang.: eng). - In: Journal of the China Society for Scientific and Technical Information, 29(2010)2, pp. 240-245. Zhu, Shanfeng, et al. Field independent probabilistic model for clustering multi-field documents (Lang.: eng). - In: Information processing and management, 45(2009)5, pp. 555-570. Reynolds, C.H., Druker, R., Pfahler, L.B. Lead discovery using stochastic cluster analysis (SCA): a new method for clustering structurally similar compounds (Lang.: eng). - In: Journal of Chemical Information and Computer Sciences, 38(1998)2,p.305-312. Isa, D., Kallimani, V.P., Lam Hong Lee. Using the self organizing map for clustering of text documents (Lang.: eng). - In: Expert systems with applications, 36(2009), pp. 84-91. Islam, Md Zahidul, Brankovic, Ljiljana. Privacy preserving data mining: a noise addition framework using a novel clustering technique (Lang.: eng). - In: Knowledge-based systems, 24(2011)8, pp. 1214-1223. El-Beltagy, Samhaa R., Rafea, Ahmed. KP-Miner: a keyphrase extraction system for English and Arabic documents (Lang.: eng). - In: Information systems, 34(2009)1, pp. 132-144. Curtis, D. et al. Using sequential clustering for unsupervised classification of unconstrained document images (Lang.: eng). - In: Proceedings of the International Conference on Image Processing, Computer Vision and Pattern Recognition, 2007, pp.88-94.
Further items on this class as a particular theme
Tjhi, W.-C., Lihui Chen. Dual fuzzy-possibilistic coclustering for categorization of documents (Lang.: eng). In: IEEE transactions on fuzzy systems, 17(2009)3, pp.532-543. Lin, Y.H., Chueh, H.E. Applying fuzzy statistics and clustering analysis to construct a document multi-classification model (Lang.: eng). In: Applied mechanics and materials, 44/47(2011)4, pp. 3370-3373. Zhao, Rongying; Wei, Mingkun; Quan, Wei. Evolution of think tanks studies in view of a scientometrics perspective (Lang.: eng). In: Knowledge Organization,44(2017)5, pp. 335-348.WΓΌrzburg, DE, Ergon-Verlag, 2017. pp. 14. ISSN: 09437444; 6 Diagrams, 6 ChartsThangamani, M, Thangaraj, P. Effective fuzzy ontology based distributed document using non-dominated ranked genetic algorithm (Lang.: eng). In: International journal of intelligent information technologies, 7(2011)4, pp. 26-46. Zhang, J., Wolfram, D., Wang, P. Analysis of keywords of sports-related queries using visualization and clustering (Lang.: eng). In: Journal of the American Society for Information Science and Technology, 60(2009)8, pp. 1550-1571. Smiraglia, Richard P.. Domain analysis of domain analysis for knowledge organization: observations on an emergent methodological cluster (Lang.: eng). In: Knowledge Organization,42(2015)8, pp. 602-611.WΓΌrzburg, DE, Ergon-Verlag, 2015. pp. 10. ISSN: 09437444; 1 Diagram, 5 Charts, 3 GraphsMather, L.A. A linear algebra measure of cluster quality (Lang.: eng). In: Journal of the American Society for Information Science, 51(2000)7, p.602-613. Gopal, M., Kumar, M.A. Text categorization using fuzzy proximal SVM and distributional clustering of words (Lang.: eng). In: Advances in knowledge discovery and data mining. 13th Pacific-Asia Conference, PAKDD 2009. Proceedings, (2009), pp.52-61. Dutta, Bidyarthi, Majumder, Krishnapada, Sen, B. K. Study of subject domain by keyword cluster analysis based on research articles: A case study from physics (Lang.: eng). In: Information studies, 17(2011)4, pp. 195-210. Carpineto, C. et al. Mobile information retrieval with search results clustering: prototypes and evaluations (Lang.: eng). In: Journal of the American Society for Information Science and Technology, 60(2009)5, pp. 877-895. Wolfram, D., Wang, P., Zhang, J. Identifying Web search patterns using cluster analysis: a comparison of three search environments (Lang.: eng). In: Journal of the American Society for Information Science & Technology, 60(2009)5, pp. 896-910. Kishida, Kazuaki. Double-pass clustering technique for multilingual document collections (Lang.: eng). In: Journal of information science, 37(2011)3, pp. 304-321.
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