By Minos Garofalakis, Rajeev Rastogi (auth.), Ming-Syan Chen, Philip S. Yu, Bing Liu (eds.)
Knowledge discovery and knowledge mining became parts of transforming into value as a result of the contemporary expanding call for for KDD strategies, together with these utilized in desktop studying, databases, records, wisdom acquisition, info visualization, and excessive functionality computing. In view of this, and following the good fortune of the 5 past PAKDD meetings, the 6th Pacific-Asia convention on wisdom Discovery and knowledge Mining (PAKDD 2002) aimed to supply a discussion board for the sharing of unique study effects, leading edge principles, state of the art advancements, and implementation studies in wisdom discovery and knowledge mining between researchers in educational and business organisations. a lot paintings went into getting ready a software of top of the range. We bought 128 submissions. each paper was once reviewed by means of three application committee individuals, and 32 have been chosen as standard papers and 20 have been chosen as brief papers, representing a 25% popularity fee for normal papers. The PAKDD 2002 software used to be additional greater by way of keynote speeches, introduced by means of Vipin Kumar from the Univ. of Minnesota and Rajeev Rastogi from AT&T. moreover, PAKDD 2002 used to be complemented by means of 3 tutorials, XML and knowledge mining (by Kyuseok Shim and Surajit Chadhuri), mining patron facts throughout a variety of consumer touchpoints at- trade websites (by Jaideep Srivastava), and information clustering research, from basic groupings to scalable clustering with constraints (by Osmar Zaiane and Andrew Foss).
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ICDE Int. Conf. On Data Engineering. 29. Tung A. K. , Lakshmanan L. V. S. and Han J. (2001) Constraint-based clustering in large databases. In Proc. ICDT, pp 405–419. 30. Xie X. and Beni G. (1991) A validity measure for fuzzy clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(4). 31. Za¨ıane O. -H. and Wang W. (2002) Data clustering analysis from simple groupings to scalable clustering with constraints. Technical Report, TR02-03, Department of Computing Science, University of Alberta.
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Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference, PAKDD 2002 Taipei, Taiwan, May 6–8, 2002 Proceedings by Minos Garofalakis, Rajeev Rastogi (auth.), Ming-Syan Chen, Philip S. Yu, Bing Liu (eds.)