| Description |
xiii, 375 pages : illustrations ; 24 cm |
| Series |
Studies in computational intelligence ; 6 |
|
Studies in computational intelligence ; v. 6
|
| Contents |
Machine derived contents note: Part I Foundations of Data Mining -- Knowledge Discovery as Translation -- Setsuo Ohsuga 3 -- Mathematical Foundation of Association Mining: -- Associations by Solving Integral Linear Inequalities -- T. Y. Lin 21 -- Comparative Study of Sequential Pattern Mining Models -- Hye-Chung (Monica) Kum, Susan Paulsen, and Wei Wang 43 -- Designing Robust Regression Models -- Murlikrishna Viswanathan, Kotagiri Ramamohanarao 71 -- A Probabilistic Logic-based Framework -- for Characterizing Knowledge Discovery -- in Databases -- Ying Xie and Vijay V. Raghavan 87 -- A Careful Look at the Use -- of Statistical Methodology in Data Mining -- Norman Matloff 101 -- Justification and Hypothesis Selection -- in Data Mining -- Tuan-Fang Fan, Duen-Ren Liu and Churn-Jung Liau 119 -- On Statistical Independence -- in a Contingency Table -- Shusaku Tsumoto 131 -- Part II Methods of Data Mining -- A Comparative Investigation on Model Selection in Binary -- Factor Analysis -- Yujia An, Xuelei Hu, Lei Xu 145 -- Extraction of Generalized Rules -- with Automated Attribute Abstraction -- Yohji Shidara Mineichi Kudo and Atsuyoshi Nakamura 161 -- Decision Making Based on Hybrid -- of Multi-Knowledge and Naive Bayes Classifier -- QingXiang Wu, David Bell, Martin McGinnity and Gongde Guo 171 -- First-Order Logic Based Formalism -- for Temporal Data Mining -- Paul Cotofrei, Kilian Stoffel 185 -- An Alternative Approach -- to Mining Association Rules -- Jan Rauch, Milan Siminek 211 -- Direct Mining of Rules from Data -- with Missing Values -- Vladimir Gorodetsky, Oleg Karsaev and Vladimir Samoilov 233 -- Cluster Identification -- Using Maximum Configuration Entropy -- C.H. Li 265 -- Mining Small Objects -- in Large Images Using Neural Networks -- M engjie Zhang 277 -- Improved Knowledge Mining -- with the Multimethod Approach -- Mitja Leni6, Peter Kokol, Milan Zorman, Petra Povalej, Bruno Stiglic, -- and Ryuichi Yamamoto 305 -- Part III General Knowledge Discovery -- Posting Act Tagging Using Transformation-Based Learning -- Tianhao Wu, Faisal M. Khan, Todd A. Fisher, Lori A. Shuler and -- William M. Pottenger 321 -- Identification of Critical Values -- in Latent Semantic Indexing -- April Kontostathis, William M. Pottenger, Brian D. Davison 333 -- Reporting Data Mining Results -- in a Natural Language -- Petr Strossa, Zdenek Cerny, Jan Rauch 347 -- An Algorithm to Calculate the Expected Value -- of an Ongoing User Session -- S. Milldn, E. Menasalvas, M. Hadjimichael, E. Hochsztain 363 |
| Summary |
"Foundations of Data Mining and Knowledge Discovery contains the latest results and new directions in data mining research." --Cover |
| Notes |
"...a preliminary workshop ... held on May 6, 2002, at the Grand Hotel, Taipei, Taiwan, as part of the 6th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-02)."--Pref |
| Bibliography |
Includes bibliographical references |
| Subject |
Artificial intelligence.
|
|
Data mining.
|
| Genre/Form |
Conference papers and proceedings.
|
| Author |
Lin, Tsau Y., 1937-
|
|
Pacific-Asia Conference on Knowledge Discovery and Data Mining (6th : 2002 : Taipei, Taiwan)
|
| LC no. |
2005927318 |
| ISBN |
3540262571 |
|
9783540262572 |
|
