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Knowledge organization literature. Selected items
Your search for
class 25 Numerical Taxonomy
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El-Sherbini, M. A. Cataloging and Classification: review of the literature 2005-06 [Bibliographical essay] (Lang.: eng). - In: Library Resources & Technical Services, 52(2008)3, p.148-163. Chambers, S., Myall, C. Cataloging and classification review of the literature 2007-8 (Lang.: eng). - In: Library resources and technical services, 54(2010)2, pp. 90-114. Cunha, Jos? Humberto da Cruz Ara?jo J?nior, Rog?rio Henrique de. Taxonomia de distor??es cont?beis [Taxonomy of accounting distorsions] (Lang.: por). - In: Encontros Bibli: Revista Eletr?nica de Biblioteconomia e Ci?ncia da Informa??o, 22(2017)49, pp. 127-141. Available at Coult, G. Taxonomy (Lang.: eng). - In: Managing Information, 7(2000)4, p.34, 38. Ohly, H.P. Erstellung und Interpretation von semantischen Karten am Beispiel des Themas 'Soziologische Beratung' [About the building and interpretation of semantic maps with the theme 'sociological counseling' as example] (Lang.: ger). - In: Wissensorganisation in kooperatieven Lern- und Arbeitsumgebungen [see 2004-0335], p.205-218. Sharma, R.S., Foo, S., Morales-Arroyo, M. Developing corporate taxonomies for knowledge auditability: a framework for good practices (Lang.: eng). - In: Knowledge Organization, 35(2008)1, p.30-46. Boeri, Robert. It's TAXonomy time (Lang.: eng). - In: EContent, 32(2009)4, 19 pp. Available at Befus, Rebeca. (Book review of) Hedden, Heather. The accidental taxonomist. Medford, NJ, Information Today, 2010. ISBN: 9781573873970 (Lang.: eng). - In: Issues in science & technology librarianship, 62(2010). Available at Hedden, Heather. The accidental taxonomist (Lang.: eng). - Medford, N.J, Information Today, 2010. pp. 422. ISBN: 9781573873970; ISBN: 1573873977 . Hedden, H. Taxonomies and the information user (Lang.: eng). - In: Information outlook, 14(2010)8, pp. 10-13. Living, Henry. (Book review of) Hedden, Heather. The accidental taxonomist. Medford, NJ, Information Today, 2010. ISBN: 9781573873970 (Lang.: eng). - In: Information research, 15(2010)2. Available at Tonkin, Emma. (Book review of) Hedden, Heather. The accidental taxonomist. Medford, NJ, Information Today, 2010. 472 pp. ISBN: 9781573873970 (Lang.: eng). - In: Information research, 15(2010)2. Available at Hlava, Marjorie M.K., Ven Eman, Jay . The top 10 reasons to create a taxonomy (Lang.: eng). - In: Information today, 28(2011)2, p. 21. Nazar, Rogelio, Vivaldi, Jorge, Wanner, Leo. Automatic taxonomy extraction for specialized domains using distributional semantics (Lang.: eng). - In: Terminology, 18(2012)2, pp. 188-225. Brew, C. Systemic classification and its efficiency (Lang.: eng). - In: Computational Linguistics.Vol.17.No.4.1991.p.375-408. Examination of the problem of classifying linguistic objects on the basis of information encoded in the system network formalism developed by HallidayBrew, C.. Systemic classification and its efficiency (Lang.: eng). - In: Computational Linguistics. Vol. 17. No. 4. p.375-408. Examination of the problem of classifying linguistic objects on the basis of information encoded in the system network formalism developed by Halliday.Day, W.H.E.; McMorris, F.R. On the consistency of the plurality rule consensus function for molecular sequences (Lang.: eng). - In: J.Classif. Vol. 11. No. 2. 1994. p.233-249. Kranowski, W.J. Ordination in the presence of group structure, for general multivariate data (Lang.: eng). - In: J.Classif. Vol. 11. No. 2. 1994. p.195-207. Batagelj, V.; Bren, M.. Comparing resemblance measures (Lang.: eng). - In: J.Classif. Vol. 12, No. 1. 1995. p.73-90. Carroll, J.D.; Winsberg, S.. Fitting an extended INDSCAL model to three-way proximity data (Lang.: eng). - In: J.Classif. Vol. 12, No. 1. 1995. p.57-71. Wedel, M.; DeSarbo, W.S.. A mixture likelihood approach for generalized linear models (Lang.: eng). - In: J.Classif. Vol. 12, No. 1. 1995. p.21-55. Green, R.. Book review of Bailey, K.D.: Typologies and taxonomies: An introductin to Classification Techniques. Thousand Oaks, CA: SAGE 1994. 90p. (Lang.: eng). - In: J.Amer.Soc.Inform.Sci. Vol. 47, No. 4. 1996. p.328-9. Rinck, M.; Glowalla, U.. Wissensstrukturierung durch statistische Graphen. Weitere Auswirkungen auf das Verstehen [Knowledge structuring through statistical graphs. Further effects for understanding] (Lang.: ger). - In: Z.Exp.u.Angew.Psychol.. 41(1994)1,p.132-153. Hedden, Heather. Tags and categories (blog on: the accidental taxonomist) (Lang.: eng). - In: Blogger.Carlisle, MA, 2013. pp. 1. Available at Conix, Stijn. Taxonomy and conservation science: interdependent and value-laden (Lang.: eng). - In: History and Philosophy of the Life Sciences, 41(2019)2, pp.15. Available at 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. Whitelaw, Lara, et al. Pragmatic support for taxonomy-based annotation of structured digital documents (Lang.: eng). - In: Electronic library, 27(2009) 5, pp. 755-756. Chaudhry, Abdus Sattar. Assessment of taxonomy building tools (Lang.: eng). - In: Electronic library, 28(2010)6, pp. 769-788. Cataldi, M., Candan, K. S., Sapino, M. L. Narrative-based taxonomy distillation for effective indexing of text collections (Lang.: eng). - In: Data and knowledge engineering, 72(2012), pp. 103-125. Tubbs, J.D.; Alltop, W.O. Measures of confidence associated with combining classification results (Lang.: eng). - In: IEEE Transact.on Syst.,Man &.Vol.21.No.3.1991.p.690-692. Shiaw-Dong, D.L.; Casasent, D.P. Iterative Fisher/Minimum-Variance optical classifier (Lang.: eng). - In: Pattern Recognition.Vol.23.No.3/4.1990.p.385-391. Broder, A.J. Strategies for efficient incremental nearest neighbor search (Lang.: eng). - In: Üattern Recognition.Vol.23.No.1/2.1990.p.171-178. Huang, J.S.; Shieh, W.R. A heuristic method for separating clusters form noisy background (Lang.: eng). - In: Pattern Recognition.Vol.23.No.1/2.1990.p.147-157. Granovsky, Yu.V.; Luibimova, T.N., Murashova, T.I., Myatlev, V.D.. Information-based evaluation of the quality of doctoral theses (Lang.: eng). - In: ScientometricsVol. 23 No. 3. 1992. p.361-376. Thom, J.A.; Zobel, J.. A model for word clustering (Lang.: eng). - In: J.Amer.Soc.Inform.Sci.Vol. 43 No. 9. 1992. p.616-627. Tubbs, J.D.; Alltop, W.O.. Measures of confidence associated with combining classification results (Lang.: eng). - In: IEEE Transact.on Syst.,Man &... Vol. 21. No. 3. p.690-692. Shah, K.L.. Interpreting readership data: a new multivariate approach through visualization (Lang.: eng). - In: Libr.Sci.Slant Doc.Inf.Stud.. 30(1993)3,p.103-117. Multivariate Analysis is a fresh wave of data analysis in informetrics in general and the readership data in particular, where most of the data are continuous or/and categorical. The already published categorical data are popularly called Correspondence. Analysis (CA). (The method can also combine continuous and categorial data for the analysis and also provide further results based on CA). The method utilizes PCA approach to reduce the dimensionality of the row-column data and offers several options to analyse the categorical data and provides vissualization of the row and column points for easy interpretation. (Author, abbr.)"Chaturvedi, A.; Carroll, J.D. An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models (Lang.: eng). - In: J.Classif. Vol. 11. No. 2. 1994. p.155-170. Groenen, P.J.F.; Mathar, R., Heiser, W.J.. The majorization approach to multidimensional scaling for Minkowski distances (Lang.: eng). - In: J.Classif. Vol. 12, No. 1. 1995. p.3-19. Chen, Z.; Ness, J.W.v.. Space-conserving agglomerative algorithms (Lang.: eng). - In: J.Classif. Vol. 13, No. 1. 1996. p.157-168. Daws, J.T.. The analysis of free-sorting data: beyond pairwise (Lang.: eng). - In: J. Classif. Vol. 13, No. 1. 1995. p.57-80. Gower, J.C.; Greenacre, M.J.. Unfolding a symmetric matrix (Lang.: eng). - In: J.Classif. Vol. 13, No. 1. 1996. p.81-105. Mirkin, B.; Arabie, P., Hubert, L.. Additive two-mode clustering: the error-variance approach revisited (Lang.: eng). - In: J. Classif. Vol. 12, No. 2. 1995. p.243-263. Pliner, V.. Metric unifimensional scaling and global optimization (Lang.: eng). - In: J. Classif. Vol. 13, No. 1. 1996. p.3-18. Simantiraki, E.. Unidimensional scaling: a linear programming approach minimizing absolute deviations (Lang.: eng). - In: J. Classif. Vol. 13, No. 1. 1996. p.19-25. Bianchini, Carlo. Book number: uno strumento per l'organizzazione delle collezioni (Lang.: it). - Milano, IT, Editrice Bibliografica, 2017. pp. 130. Available at 9788870759556. Georgel, A.; Laurent, D.. Classification statistique et réseau de neurones formels pour la représentation de banques de données documentaires [Statistical classification and neural networks for documentary database representation] (Lang.: fre). - Paris, Université 07, 1992. pp. 282. Doctoral Diss.Burgin, R.. The retrieval effectiveness of five clustering algorithms as a function of indexing exhaustivity (Lang.: eng). - In: J. Amer.Soc.Inform.Sci. Vol. 46, No. 8. 1995. p.562-572. Vach, W.. Preserving consensus hierarchies (Lang.: eng). - In: J.of Classif.. 11(1994)1,p.59-77. Sankoff, D.; Abel, Y., Hein, J. A tree, a window, a hill: generalization of nearest neighbour interchange in phylogenetic optimization (Lang.: eng). - In: J.Classif. Vol. 11. No. 2. 1994. p.209-32. Gaul, W.; Schader, M. Pyramidal classification based on incomplete dissimilarity data (Lang.: eng). - In: J.Classif. Vol. 11. No. 2. 1994. p.171-93. Constantinescu, M.. An efficient algorithm for supertrees (Lang.: eng). - In: J.Classif. Vol. 12, No. 1. 1995. p.101-112. Kubicka, E.; Kubicki, G., McMorris, F.R.. An algorithm to find agreement subtrees (Lang.: eng). - In: J.Classif. Vol. 12, No. 1. 1995. p.91-99. Carroll, J.D.; Corter, J.E.. A graph-theoretic method for organizing overlapping clusters into trees, multiple trees, or extended trees (Lang.: eng). - In: J.Classif. Vol. 12, No. 2. 1995. p.283-313. Gascuel, O.; Levy, D.. A reduction algorithm for approximating a (nonmetric) dissimilarity by a tree distance (Lang.: eng). - In: J. Classif. Vol. 13, No. 1. 1996. p.129-155. Lapointe, F.-J.; Legendre, P.. Comparisons tests for dendrograms: a comparative evaluation (Lang.: eng). - In: J. Classif. Vol. 12, No. 2. 1995. p.265-282. Hansen, P.; Jaumard, B., Simeone, B.. Espaliers: a generalization of dendrograms (Lang.: eng). - In: J.Classif. Vol. 13, No. 1. 1996. p.107-127. Unru, R.C.; Krieger, O., Gamsa, B., Stumm, M.. Hierarchical clustering: a structure for scalable multiprocessor operating system design (Lang.: eng). - In: J.of Supercomputing. Vol. 9, No. 1/2. 1995. p.105-134. Bahia Jacintho, Eliana Maria dos Santos. El mercado de trabajo para archiveros seg?n los anuncios brasile?os de empleo (2012-2014) : an?lisis y organizaci?n terminol?gicos de ofertas empresariales [The labor market for archivists according to Brazilian job ads (2012-2014) : analysis and organization of business terminology deals] (Lang.: spa). - Getafe, Comunidad de Madrid, Spain, Universidad Carlos III de Madrid, 2015. Available at Warner, A.J.. Automatic hierarchical organization of phrases using machine-readable dictionary information (Lang.: eng). - In: Ann.Rev.OCLC Res.. 1992. p.50-52. Auger, A., Barrière, C. Pattern-based approaches to semantic relation extraction (Lang.: eng). - In: Terminology, 14(2008)1, p.1-19. Jansen, Bernard J., Booth, Danielle L., Spink, Amanda. Patterns of query reformulation during Web searching (Lang.: eng). - In: Journal of the American Society for Information Science & Technology, 60(2009)7, pp.1358-1371. Berliner, H.; Ebeling, C. Pattern knowledge and search: The SUPREM architecture (Lang.: eng). - In: Artificial Intelligence.Vol.38.No.2.1989.p.161-198. Eichmann, G.; Kasparis, T. Pattern classification using a linear associative memory (Lang.: eng). - In: Pattern Recognition.Vol.22.No.6.1989.p.733-740. Lenz, R. Group invariant pattern recognition (Lang.: eng). - In: Pattern Recognition.Vol.23.No.1/2.1990.p.199-217. Carman, C.S.; Merickel, M.B. Supervising isodata with an information theoretic stopping rule (Lang.: eng). - In: Pattern Recognition.Vol.23.No.1/2.1990.p.185-197. Pedrycz, W. Fuzzy sets in pattern recognition: methodology and methods (Lang.: eng). - In: Pattern Recognition.Vol.23.No.1/2.1990.p.121-146. Berliner, H.; Ebeling, C.. Pattern knowledge and search: The SUPREM architecture (Lang.: eng). - In: Artificial Intelligence. Vol. 38. No. 2. p.161-198. Dhar, V.; Tuzhilin, A.. Abstract-driven pattern discovery in databases: Learning and discovery in knowledge-based databases (Lang.: eng). - In: IEEE Trans.Knowl.Data Eng.. 5(1993)6,p.926-938. Hamada, A.H.. Reconnaissance de symboles techniques et analyse contextuelle de schémas [Recognitioon of technical symbols and contextual analysis of schemes"] (Lang.: fre). - In: Doctoral Thesis, Information Science.INP Lorraine, France, 1993. Reiners, Rene. An Evolving Pattern Library for Collaborative Project Documentation (Lang.: ger). - Aachen, Germany, Rheinisch-WestfΓΒ€lische Technische Hochschule Aachen, 2014. Available at Su, J.H. et al. Effective content-based video retrieval using pattern-indexing and matching techniques (Lang.: eng). - In: Expert systems with applications 37(2010)7, pp. 5068-5085. Delgoda, R.; Pulfer, J.D.. Application of pattern recognition techniques to mass spectrometric dta for sequencing C-terminal peptide residue series (Lang.: eng). - In: J.Chem.Inform.& Comput.Sci.Vol. 33 No. 3. 1993. p.332-7. Baumann, Ringo; Loebe, Frank;Β Herre, Heinrich. Axiomatic theories of the ontology of time in GFO (Lang.: eng). - In: Applied Ontology, 8(2013)1 pp. 79β108.Amsterdam, IOS Press , 2013. pp. 42. Available at ISSN: 15700844alles, Thiago; Rocha, Leonardo; GonΓ§alves, Marcos AndrΓ©; Almeida, Jussara M.; MourΓ£o, Fernando; Meira, Wagner Jr.; Viegas, Felipe. A quantitative analysis of the temporal effects on automatic text classification (Lang.: eng). - In: Journal of the Association for Information Science and Technology, 67(2015)7, pp. 1639-1667.Hoboken, NJ, John Wiley & Sons, Inc., 2015. pp. 28. Available at ISSN: 15322890Cheng, Chin Pang, et al. Improving access to and understanding of regulations through taxonomies (Lang.: eng). - In: Government information quarterly, 26(2009)2, pp.238-245. Young, S.J.; Woodland,P.C.. State clustering in hidden Markov model-based continuous speech recognition (Lang.: eng). - In: Computer Speech and Language. (1994)8,p.369-383. Attias, R.; Petitjean, M. Statistical analysis of atom topological neighourhoods and multivariate representation of a large chemical file (Lang.: eng). - In: J.Chem.Inform.& Comput.Sci. Vol. 33. No. 5. 1993. p.649-56. Janssen, L.L.F.; Wel, F.J.M. van der. Accuracy assessment of satellite derived land-cover data: a review (Lang.: eng). - In: Photogramm.Eng.Remote Sensing. 60(1994)4,p.419-426. Accuracy assessment of land-cover classifications derived froom remote sensing data has been recognized as a valuable tool in judging the fitness of these data for a particular application. The article aims at contributing to this discussion by means of a review based on a division into positional and thematic accuracy. (Author, abbr.)Vogel, F.; Forschungsstelle für Numerische Klassifikation. Unterentwicklung - Entwicklung.Eine Studie zur Einteilung der Länder anhand von Merkmalen aus den Bereichen 'Wirtschaft' und 'Bevölkerkung und ik' sowie 'Grundbedürfnisse und Soziales' 'Polit (Lang.: ger). - Bamberg, DE, Universität, 1989. pp. 127. Benediktsson, J.A.; Swain, P.H. Consensus theoretic classification methods (Lang.: eng). - In: IEEE Transact.on Syst.,Man &.Vol.22.No.4.1992.p.688-704. Adoption of the consensus theory for classifying geographic data from multiple sourcesBenediktsson, J.A.; Swain, P.H.. Consensus theoretic classification methods (Lang.: eng). - In: IEEE Transact.on Syst.,Man &... Vol. 22. No. 4. p.688-704. Adoption of the consensus theory for classifying geographic data from multiple sources.Chute, C.G.; Yang, Y. An overview of statistical methods for the classification and retrieval of patient events (Lang.: eng). - In: Meth.Inform.in Medicine. Vol. 34. No. 1/2. 1995. p.104-110. A least squares fit alternative for the computer assisted indexing and retrieval of biomedical texts was developed. The technique demonstrated equivalent or superior retrieval performance when compared to all other textual retrieval techniquesLiang, J.J.; Clarson, V. A new approach to classification of brainwaves (Lang.: eng). - In: Pattern Recognition.Vol.22.No.6.1989.p.767-774. Shaw, W.M.Jr. Controlled and uncontrolled subject descriptions in the CF database: A comparison of optimal cluster-based retrieval results (Lang.: eng). - In: Inform.Process.& Management.Vol.29.No.6.1993.p.751-763. Shaw, W.M.Jr.. Controlled and uncontrolled subject descriptions in the CF database: A comparison of optimal cluster-based retrieval results (Lang.: eng). - In: Inform.Process.& Management. Vol. 29. No. 6. p.751-763. Kirriemuir, J.W.; Willett, P.. Clustering the output of multi-database online searches (Lang.: eng). - In: Inform.Research Notes. Vol. 5, No. 2. 1994. p.12-17. Grivel, L.; Mutschke, P., Polanco, X. Thematic mapping on bibliographic databases by cluster analysis: A description of the SDOC environment with SOLIS (Lang.: eng). - In: Knowl.Org. Vol. 22. No. 2. 1995. p.70-77. A co-word analysis-based system called SDOC is presented which is able to support the intellectual work of an end-user who is searching in a bibliographic database. This is done by presenting its thematical structure as a map of keyword clusters (themes). on a graphical user interface. These mapping facilities are demonstrated on the basis of the research field Social History given by a set of documents from the social science literature database SOLISMcDermott, E.; Katagiri, Sh.. Prototype-based minimum classification error/generalized probabilistic descent training for various speech units (Lang.: eng). - In: Computer Speech and Language. (1994)8,p.351-368. Holman, E.W.. Quantitative properties of the evolution and classification of languages (Lang.: eng). - In: J. Classif. Vol. 13, No. 1. 1996. p.27-56. Ledger, G.. An exploration of differences in the Pauline Epistles using multivariate statistical analysis (Lang.: eng). - In: Literary & Linguistic Comput. Vol. 10, No. 2. 1995. p.85-97. Kirriemuir, J.W.; Willett, P.. Clustering the output of multi-database online searches (Lang.: eng). - In: Inform.Research Notes. 5(1994)2,p.12-17. Dou, H.; Hassanaly, P., Huot, C., Coupet, P. Advanced services through INTERNET network (Lang.: eng). - In: Cahiers de la Documentation. No. 4. 1994. p.159-165. Proposal to use statistical classification procedures on downloaded data from the Internet in order to openthe way to new information packagesShaw, R.J.; Willett, P.. On the non-random nature of nearest-neighbour document clusters (Lang.: eng). - In: Inform.Process.& ManagementVol. 29 No. 4. 1993. p.449-452.
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