Name: Methodologies for Knowledge Discovery and Data Mining
ISBN: 978-3-540-48912-2

Editors:

Ning Zhong⁰,
Lizhu Zhou¹

Ning Zhong
1. Department of Computer Science and Systems Engineering, Yamaguchi University, Ube, Japan
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Lizhu Zhou
1. Department of Computer Science and Technology, Tsinghua University, Beijing, China
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Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1574)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining

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Conference proceedings info: PAKDD 1999.

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Table of contents (72 papers)

Feature Selection and Generation
1. A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree
  
  Masahiro Terabe, Osamu Katai, Tetsuo Sawaragi, Takashi Washio, Hiroshi Motoda
  
  Pages 143-147
Mining in Semi, Un-structured Data
1. An Algorithm for Constrained Association Rule Mining in Semi-structured Data
  
  Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheuermann
  
  Pages 148-158
2. Incremental Mining of Schema for Semistructured Data
  
  Aoying Zhou, Jinwen, Zhou Shuigeng, Zenping Tian
  
  Pages 159-168
3. Discovering Structure from Document Databases
  
  Mon-Fong Jiang, Shian-Shyong Tseng, Chang-Jiun Tsai
  
  Pages 169-173
4. Combining Forecasts from Multiple Textual Data Sources
  
  Vincent Cho, Beat Wüthrich
  
  Pages 174-179
5. Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql
  
  Xiaofeng Meng, Yong Zhou, Shan Wang
  
  Pages 179-183
Interestingness, Surprisingness, and Exceptions
1. Evolutionary Hot Spots Data Mining
  
  Graham J. Williams
  
  Pages 184-193
2. Efficient Search of Reliable Exceptions
  
  Huan Liu, Hongjun Lu, Ling Feng, Farhad Hussain
  
  Pages 194-204
3. Heuristics for Ranking the Interestingness of Discovered Knowledge
  
  Robert J. Hilderman, Howard J. Hamilton
  
  Pages 204-210
Rough Sets, Fuzzy Logic, and Neural Networks
1. Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion
  
  Shusaku Tsumoto
  
  Pages 210-219
2. Discernibility System in Rough Sets
  
  Liu Zongtian, Xie Zhipeng
  
  Pages 220-227
3. Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets
  
  Andreas Rauber, Dieter Merkl
  
  Pages 228-237
4. Neural Network Based Classifiers for a Vast Amount of Data
  
  Ling Zhang, Bo Zhang
  
  Pages 238-246
5. Accuracy Tuning on Combinatorial Neural Model
  
  Hércules A. Prado, Karla F. Machado, Sandra R. Frigeri, Paulo M. Engel
  
  Pages 247-252
6. A Situated Information Articulation Neural Network: VSF Network
  
  Y. Kakemoto, S. Nakasuka
  
  Pages 252-257
7. Neural Method for Detection of Complex Patterns in Databases
  
  Chao Deng, Fanlun Xiong
  
  Pages 258-262
8. Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment
  
  Xuemei Shi, Chan Man-chung, Deyi Li
  
  Pages 263-268
9. An Induction Algorithm Based on Fuzzy Logic Programming
  
  1Daisuke Shibata, Nobuhiro Inuzuka, Shohei Kato, Tohgoroh Matsui, Hidenori Itoh
  
  Pages 268-274
10. Rule Discovery in Databases with Missing Values Based on Rough Set Model
  
  Shusaku Tsumoto
  
  Pages 274-278
11. Sustainability Knowledge Mining from Human Development Database
  
  Xuefei Wang, Rusong Wang, Jue Wang
  
  Pages 279-283

Other Volumes

Methodologies for Knowledge Discovery and Data Mining

Keywords

Editors and Affiliations

Department of Computer Science and Systems Engineering, Yamaguchi University, Ube, Japan

Ning Zhong
Department of Computer Science and Technology, Tsinghua University, Beijing, China

Lizhu Zhou

Bibliographic Information

Book Title: Methodologies for Knowledge Discovery and Data Mining
Book Subtitle: Third Pacific-Asia Conference, PAKDD'99, Beijing, China, April 26-28, 1999, Proceedings
Editors: Ning Zhong, Lizhu Zhou
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-48912-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1999
Softcover ISBN: 978-3-540-65866-5Published: 14 April 1999
eBook ISBN: 978-3-540-48912-2Published: 29 June 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 540
Topics: Artificial Intelligence, Database Management, Information Storage and Retrieval, Information Systems Applications (incl. Internet), IT in Business
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications

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Table of contents (72 papers)

Feature Selection and Generation

Mining in Semi, Un-structured Data

Interestingness, Surprisingness, and Exceptions

Rough Sets, Fuzzy Logic, and Neural Networks

Other Volumes

Methodologies for Knowledge Discovery and Data Mining

Keywords

Editors and Affiliations

Department of Computer Science and Systems Engineering, Yamaguchi University, Ube, Japan

Department of Computer Science and Technology, Tsinghua University, Beijing, China

Bibliographic Information

Publish with us

Buy it now

Buying options

Other ways to access

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