Methodologies for Knowledge Discovery and Data Mining
Author | : Ning Zhong |
Publisher | : Springer |
Total Pages | : 566 |
Release | : 2003-06-29 |
ISBN-10 | : 9783540489122 |
ISBN-13 | : 3540489126 |
Rating | : 4/5 (22 Downloads) |
Download or read book Methodologies for Knowledge Discovery and Data Mining written by Ning Zhong and published by Springer. This book was released on 2003-06-29 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '99, held in Beijing, China, in April 1999. The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization; causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies.