Advances in Knowledge Discovery and Data Mining
6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings
Editors: Cheng, Ming-Syan, Yu, Philip S., Liu, Bing (Eds.)
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- About this book
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Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statistics, knowledge acquisition, data visualization, and high performance computing. In view of this, and following the success of the five previous PAKDD conferences, the sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2002) aimed to provide a forum for the sharing of original research results, innovative ideas, state-of-the-art developments, and implementation experiences in knowledge discovery and data mining among researchers in academic and industrial organizations. Much work went into preparing a program of high quality. We received 128 submissions. Every paper was reviewed by 3 program committee members, and 32 were selected as regular papers and 20 were selected as short papers, representing a 25% acceptance rate for regular papers. The PAKDD 2002 program was further enhanced by two keynote speeches, delivered by Vipin Kumar from the Univ. of Minnesota and Rajeev Rastogi from AT&T. In addition, PAKDD 2002 was complemented by three tutorials, XML and data mining (by Kyuseok Shim and Surajit Chadhuri), mining customer data across various customer touchpoints at- commerce sites (by Jaideep Srivastava), and data clustering analysis, from simple groupings to scalable clustering with constraints (by Osmar Zaiane and Andrew Foss).
- Table of contents (56 chapters)
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Network Data Mining and Analysis: The $$ \mathcal{N}\mathcal{E}\mathcal{M}\mathcal{E}\mathcal{S}\mathcal{I}\mathcal{S} $$ Project
Pages 1-12
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Privacy Preserving Data Mining: Challenges and Opportunities
Pages 13-13
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A Case for Analytical Customer Relationship Management
Pages 14-27
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On Data Clustering Analysis: Scalability, Constraints, and Validation
Pages 28-39
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Discovering Numeric Association Rules via Evolutionary Algorithm
Pages 40-51
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Table of contents (56 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Advances in Knowledge Discovery and Data Mining
- Book Subtitle
- 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings
- Editors
-
- Ming-Syan Cheng
- Philip S. Yu
- Bing Liu
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 2336
- Copyright
- 2002
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-540-47887-4
- DOI
- 10.1007/3-540-47887-6
- Softcover ISBN
- 978-3-540-43704-8
- Edition Number
- 1
- Number of Pages
- XIV, 570
- Topics
