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Home > Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings > Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques
Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings |
Ming-Syan Cheng; Philip S. Yu; Bing Liu
Springer Berlin Heidelberg
Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings
Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques
Authors

Vincent S. M. Tseng; Ching-Pin Kao

ARI Id

1664716098887_2888187

Access

Not Available Free

Pages

432-437

DOI

10.1007/3-540-47887-6_42

Chapter URL

https://rd.springer.com/chapter/10.1007/3-540-47887-6_42

Table of Contents of Book
Showing 1 to 20 of 58 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-XIII
Network Data Mining and Analysis: The \( \mathcal{N}\mathcal{E}\mathcal{M}\mathcal{E}\mathcal{S}\mathcal{I}\mathcal{S} \) Project
Minos Garofalakis; Rajeev Rastogi
1-12
Privacy Preserving Data Mining: Challenges and Opportunities
Ramakrishnan Srikant
13-13
A Case for Analytical Customer Relationship Management
Jaideep Srivastava; Jau-Hwang Wang; Ee-Peng Lim; San-Yih Hwang
14-27
On Data Clustering Analysis: Scalability, Constraints, and Validation
Osmar R. Zaïane; Andrew Foss; Chi-Hoon Lee; Weinan Wang
28-39
Discovering Numeric Association Rules via Evolutionary Algorithm
Jacinto Mata; José-Luis Alvarez; José-Cristobal Riquelme
40-51
Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining
Jochen Hipp; Christoph Mangold; Ulrich Güntzer; Gholamreza Nakhaeizadeh
52-65
Association Rule Mining on Remotely Sensed Images Using P-trees
Qin Ding; Qiang Ding; William Perrizo
66-79
On the Efficiency of Association-Rule Mining Algorithms
Vikram Pudi; Jayant R. Haritsa
80-91
A Function-Based Classifier Learning Scheme Using Genetic Programming
Jung-Yi Lin; Been-Chian Chien; Tzung-Pei Hong
92-103
SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning
Zhipeng Xie; Wynne Hsu; Zongtian Liu; Mong Li Lee
104-114
A Method to Boost Naïve Bayesian Classifiers
Lili Diao; Keyun Hu; Yuchang Lu; Chunyi Shi
115-122
Toward Bayesian Classifiers with Accurate Probabilities
Charles X. Ling; Huajie Zhang
123-134
Pruning Redundant Association Rules Using Maximum Entropy Principle
Szymon Jaroszewicz; Dan A. Simovici
135-147
A Confidence-Lift Support Specification for Interesting Associations Mining
Wen-Yang Lin; Ming-Cheng Tseng; Ja-Hwung Su
148-158
Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators
Marzena Kryszkiewicz; Marcin Gajek
159-171
Mining Interesting Association Rules: A Data Mining Language
Show-Jane Yen; Yue-Shi Lee
172-176
The Lorenz Dominance Order as a Measure of Interestingness in KDD
Robert J. Hilderman
177-185
Efficient Algorithms for Incremental Update of Frequent Sequences
Minghua Zhang; Ben Kao; David Cheung; Chi-Lap Yip
186-197
DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology
Ming-Yen Lin; Suh-Yin Lee; Sheng-Shun Wang
198-209
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 58 entries
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