{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,18]],"date-time":"2025-01-18T05:37:34Z","timestamp":1737178654468,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540335207"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/3-540-33521-8_11","type":"book-chapter","created":{"date-parts":[[2007,7,3]],"date-time":"2007-07-03T03:10:01Z","timestamp":1183432201000},"page":"109-120","source":"Crossref","is-referenced-by-count":4,"title":["Adaptive Document Maps"],"prefix":"10.1007","author":[{"given":"Krzysztof","family":"Ciesielski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Micha\u0142","family":"Drami\u0144ski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mieczys\u0142aw A.","family":"K\u0142opotek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dariusz","family":"Czerski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S\u0142awomir T.","family":"Wierzcho\u0144","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"1. CC Aggarwal, F Al-Garawi, and PS Yu. Intelligent crawling on theWorld Wide Web with arbitrary predicates. In Proc. 10th International World Wide Web Conference, pages 96\u2013105, 2001.","DOI":"10.1145\/371920.371955"},{"issue":"1","key":"11_CR2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1177\/109434209200600103","volume":"6","author":"M.W. Berry","year":"1992","unstructured":"2. M.W.Berry, Large scale singular value decompositions, International Journal of Supercomputer Applications, 6(1), 1992, pp.13\u201349","journal-title":"International Journal of Supercomputer Applications"},{"key":"11_CR3","unstructured":"3. L.N. De Castro, F.J. von Zuben, An evolutionary immune network for data clustering, SBRN\u20322000, IEEE Computer Society Press, 2000"},{"issue":"1\u20134","key":"11_CR4","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/S0925-2312(01)00655-5","volume":"48","author":"M. Dittenbach","year":"2002","unstructured":"4. M. Dittenbach, A. Rauber, D. Merkl, Discovering Hierarchical Structure in Data Using the Growing Hierarchical Self-Organizing Map, Neurocomputing, Elsevier, ISSN 0925\u20132312, 48 (1\u20134) 2002, pp. 199\u2013216","journal-title":"Neurocomputing"},{"key":"11_CR5","unstructured":"5. B. Fritzke, Some competitive learning methods, draft available from http:\/\/www.neuroinformatik.ruhr-uni-bochum.de\/ini\/VDM\/research\/ gsn\/JavaPaper"},{"key":"11_CR6","first-page":"625","volume-title":"Advances in Neural Information Processing Systems 7","author":"B. Fritzke","year":"1995","unstructured":"6. B. Fritzke, A growing neural gas network learns topologies, in: G. Tesauro, D.S. Touretzky, and T.K. Leen (Eds.) Advances in Neural Information Processing Systems 7, MIT Press Cambridge, MA, 1995, pp. 625\u2013632"},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"7. B. Fritzke, A self-organizing network that can follow non-stationary distributions, in: Proceedings of the International Conference on Artificial Neural Net works \u203297, Springer, 1997, pp. 613\u2013618","DOI":"10.1007\/BFb0020222"},{"key":"11_CR8","unstructured":"8. C. Hung, S.Wermter, A Constructive and Hierarchical Self-Organising Model in A Non-Stationary Environment, International Joint Conference in Neural Networks, 2005"},{"key":"11_CR9","unstructured":"9. M. K\u0142opotek, M. Drami\u0144ski, K. Ciesielski, M. Kujawiak, S.T. Wierzcho\u0144, Mining document maps, in Proceedings of Statistical Approaches toWeb Mining Workshop (SAWM) at PKDD\u203204, M. Gori, M. Celi, M. Nanni eds., Pisa, 2004, 87\u201398"},{"key":"11_CR10","unstructured":"10. K. Ciesielski, M. Drami\u0144ski, M. K\u0142opotek, M. Kujawiak, S. Wierzcho\u0144: Architecture for graphical maps of Web contents, in Proc.WISIS\u20322004, Warsaw, 2004"},{"key":"11_CR11","unstructured":"11. K. Ciesielski, M. Drami\u0144ski, M. K\u0142opotek, M. Kujawiak, S. Wierzcho\u0144: Mapping document collections in non-standard geometries. B. De Beats, R. De Caluwe, G. de Tre, J. Fodor, J. Kacprzyk, S. Zadro\u00ffzny (eds): Current Issues in Data and Knowledge Engineering. Akademicka Warszawa, 2004, pp.122\u2013132"},{"key":"11_CR12","unstructured":"12. K. Ciesielski, M. Drami\u0144ski, M. K\u0142opotek, M. Kujawiak, S.T. Wierzcho\u0144, On some clustering algorithms for Document Maps Creation, to appear in: Proceedings of the Intelligent Information Processing and Web Mining (IIS:IIPWM- 2005), Gdansk, 2005"},{"key":"11_CR13","unstructured":"13. M. K\u0142opotek, S. Wierzcho\u0144, K. Ciesielski, M. Drami\u0144ski, D. Czerski, M. Kujawiak: Understanding Nature of Map Representation of Document Collections Map Quality Measurements, to appear in Proceeding of International Conference on Artificial Intelligence, Siedlce, September 2005"},{"issue":"4","key":"11_CR14","doi-asserted-by":"crossref","first-page":"349","DOI":"10.3233\/FUN-2002-49405","volume":"49","author":"M. K\u0142opotek","year":"2002","unstructured":"14. M. K\u0142opotek: A New Bayesian Tree Learning Method with Reduced Time and Space Complexity, Fundamenta Informaticae, 49(4)2002, IOS Press, 349\u2013367","journal-title":"Fundamenta Informaticae"},{"key":"11_CR15","first-page":"501","volume-title":"Self-Organizing Maps. Springer Series in Information Sciences, Vol. 30","author":"T. Kohonen","year":"2001","unstructured":"15. T. Kohonen, Self-Organizing Maps. Springer Series in Information Sciences, Vol. 30, Springer, Berlin, Heidelberg, New York, 2001. Third Extended Edition, 501 pages. ISBN 3-540-67921-9, ISSN 0720-678X","edition":"Third Extended"},{"issue":"2-3","key":"11_CR16","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1080\/01638539809545027","volume":"25","author":"B. C. K. Livesay","year":"1998","unstructured":"16. B. C., K. Livesay, and K. Lund. Explorations in context space: Words, sentences, discourse Discourse Processes, 25(2-3):211\u2013257, 1998","journal-title":"Discourse Processes"},{"key":"11_CR17","volume-title":"Cluster Visualization in Unsupervised Neural Networks, Diplomarbeit","author":"A. Rauber","year":"1996","unstructured":"17. A. Rauber, Cluster Visualization in Unsupervised Neural Networks, Diplomarbeit, Technische Universitt Wien, Austria, 1996"},{"key":"11_CR18","unstructured":"18. J. Timmis, aiVIS: Artificial ImmuneNetwork Visualization, in: Proceedings of EuroGraphics UK 2001 Conference, Univeristy College London 2001, pp.61\u201369"},{"key":"11_CR19","unstructured":"19. T. Zhang, R. Ramakrishan, M. Livny, BIRCH: E.cient Data Clustering Method for Large Databases, in: Proceedings of ACM SIGMOD International Conference on Data Management, 1997"},{"key":"11_CR20","unstructured":"20. Y. Zhao, G. Karypis, Criterion functions for document Clustering: Experiments and analysis, available at URL: http:\/\/www-users.cs.umn.edu\/~karypis\/ publications\/ir.html"}],"container-title":["Advances in Soft Computing","Intelligent Information Processing and Web Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-33521-8_11.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,18]],"date-time":"2025-01-18T03:37:24Z","timestamp":1737171444000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-33521-8_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540335207"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/3-540-33521-8_11","relation":{},"subject":[]}}