I S K O

Knowledge organization literature. Selected items

Your search for class 252 Cluster Analysis found the 55 items below.       [new search]

Items on this class as the base theme

5042   2007-0271cluster analysis • 252
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 http://dlib.ukoln.ac.uk/dlib/july07/hagedorn/07hagedorn.html

5043   2007-0272cluster analysis • 252
Jacsó, P. – Clustering search results. Part 1: Web-wide search engines (Lang.: eng). - In: Online Information Review, 31(2007)1, p.85-91.

5044   2007-0273cluster analysis • 252
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.

5292   2007-0529cluster analysis • 252
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.

5293   2007-0530cluster analysis • 252
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.

5480   2008-0023cluster analysis • 252
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.

5481   2008-0024cluster analysis • 252
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.

5482   2008-0025cluster analysis • 252
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.

5483   2008-0026cluster analysis • 252
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.

5680   2008-0225cluster analysis • 252
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.

5931   2009-0051cluster analysis • 252
Kim, H., Seo, J. – Cluster-based FAQ retrieval using latent term weights (Lang.: eng). - In: IEEE Intelligent Systems, 23(2008)2, p.58-65.

6204   2009-0324cluster analysis • 252
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.

6417   2009-0537cluster analysis • 252
Kurland, Oren. – Re-ranking search results using language models of query-specific clusters (Lang.: eng). - In: Information retrieval, 12(2009)4, pp.437-460.

6655   2009-0775cluster analysis • 252
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.

7156   cluster analysis • 252
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.

7157   cluster analysis • 252
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.

7653   cluster analysis • 252
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 .

8090   cluster analysis • 252
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.

8091   cluster analysis • 252
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.

8092   cluster analysis • 252
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.

8278   cluster analysis • 252
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 http://portal.acm.org/citation.cfm?id=1980129

8445   cluster analysis • 252
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.

8612   cluster analysis • 252
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.

8613   cluster analysis • 252
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.

8614   cluster analysis • 252
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.

8615   cluster analysis • 252
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.

8784   cluster analysis • 252
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.

9016   cluster analysis • 252
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.

9249   cluster analysis • 252
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.

12626   1996-1007cluster analysis • 252
Joly, S.. – Three-way distances (Lang.: eng). - In: J.Classif. Vol. 12, No. 2. 1995. p.191-205.

16557   cluster analysis • 252
Afonso, Alexandre Ribeiro. – B2: um sistema para indexação e agrupamento de artigos cientΓ­ficos em portuguΓͺs brasileiro utilizando computação evolucionΓ‘ria [B2: a system for indexing and clustering of scientific papers written in Brazilian Portuguese through the evolucionary computation] (Lang.: por). - BrasΓ­lia, Distrito Federal, Brasil, Universidade de BrasΓ­lia, 2014. – Available at http://repositorio.unb.br/handle/10482/15480

12627   1996-1008252, 147
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.

7366   cluster analysis • math KO theory • 252;131
[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.

3955   2005-32-1-0031cluster analysis • neural networks • 252;147
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.

6657   2009-0777cluster analysis • thesauri • 252;214
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.

8785   cluster analysis • thesauri • 252;214
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.

7654   cluster analysis • semi-automatic indexing methods • computer supported construction • 252;344;237
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.

6656   2009-0776cluster analysis • automatic classification • 252;348
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.

1017   1998-0393cluster analysis • special KOS • pure chemistry • 252;626
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.

6418   2009-0538cluster analysis • online access • 252;753
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.

8786   cluster analysis • search engines • 252;757
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.

6205   2009-0325cluster analysis • search engines • different languages • 252;757;718
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.

5484   2008-0027cluster analysis • NBM indexing problems • 252;871
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
 

64032009-0523math KO theory • cluster analysis • 131;252
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.

8414math KO theory • cluster analysis • 131;252
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.

17959history of related subjects • cluster analysis • 196;252
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.Wόrzburg, DE, Ergon-Verlag, 2017. – pp. 14. ISSN: 09437444; 6 Diagrams, 6 Charts

8777thesauri • cluster analysis • 214;252
Thangamani, 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.

7359descriptors • cluster analysis • special terminology • sport science • information use • 226;252;78-58;981
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.

17904subject analysis • cluster analysis • domain classification • 32;252;178
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.Wόrzburg, DE, Ergon-Verlag, 2015. – pp. 10. ISSN: 09437444; 1 Diagram, 5 Charts, 3 Graphs

28452001-0503automatic classification • cluster analysis • 348;252
Mather, 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.

64872009-0607text compression • cluster analysis • 736;252
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.

8832grammatical forms • cluster analysis • 744;252
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.

7420online retrieval problems • cluster analysis • 751;252
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.

7453online systems • cluster analysis • information use • 755;252;981
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.

8706automatic translation • cluster analysis • 793;252
Kishida, Kazuaki. – Double-pass clustering technique for multilingual document collections (Lang.: eng). – In: Journal of information science, 37(2011)3, pp. 304-321.


© ISKO 2004-2018 ; last update 2018.11.29 by CG