Lecture Notes in Artificial Intelligence

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

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 (20 chapters)

  • Privacy Preserving Data Mining: Challenges and Opportunities

    Ramakrishnan Srikant

    Pages 13-13

  • A Case for Analytical Customer Relationship Management

    Jaideep Srivastava, Jau-Hwang Wang, Ee-Peng Lim, San-Yih Hwang

    Pages 14-27

  • Discovering Numeric Association Rules via Evolutionary Algorithm

    Jacinto Mata, José-Luis Alvarez, José-Cristobal Riquelme

    Pages 40-51

  • Association Rule Mining on Remotely Sensed Images Using P-trees

    Qin Ding, Qiang Ding, William Perrizo

    Pages 66-79

  • SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning

    Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong Li Lee

    Pages 104-114

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-540-47887-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $149.00
price for USA
  • ISBN 978-3-540-43704-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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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