Coverart for item
The Resource Advances in knowledge discovery and data mining : 6th Pacific-Asia conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002 : proceedings, Ming-Syan Chen, Philip S. Yu, Bing Liu (eds.)

Advances in knowledge discovery and data mining : 6th Pacific-Asia conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002 : proceedings, Ming-Syan Chen, Philip S. Yu, Bing Liu (eds.)

Label
Advances in knowledge discovery and data mining : 6th Pacific-Asia conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002 : proceedings
Title
Advances in knowledge discovery and data mining
Title remainder
6th Pacific-Asia conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002 : proceedings
Statement of responsibility
Ming-Syan Chen, Philip S. Yu, Bing Liu (eds.)
Title variation
PAKDD 2002
Creator
Contributor
Subject
Genre
Language
eng
Member of
Additional physical form
Also available via the World Wide Web. Table of contents avaliable without subscription.
Cataloging source
DLC
Dewey number
006.3
Illustrations
illustrations
Index
index present
LC call number
QA76.9.D3
LC item number
P17 2002
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2002
http://bibfra.me/vocab/lite/meetingName
Pacific-Asia Conference on Knowledge Discovery and Data Mining
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1959-
  • 1963-
http://library.link/vocab/relatedWorkOrContributorName
  • Chen, Ming-Syan
  • Yu, Philip S
  • Liu, Bing
Series statement
  • Lecture notes in computer science
  • Lecture notes in artificial intelligence
Series volume
2336.
http://library.link/vocab/subjectName
  • Database management
  • Database searching
  • Data mining
Label
Advances in knowledge discovery and data mining : 6th Pacific-Asia conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002 : proceedings, Ming-Syan Chen, Philip S. Yu, Bing Liu (eds.)
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Network Data Mining and Analysis: The NEMESIS Project / Minos Garofalakis and Rajeev Rastogi -- Privacy Preserving Data Mining: Challenges and Opportunities / Ramakrishnan Srikant -- A Case for Analytical Customer Relationship Management / Jaideep Srivastava, Jau-Hwang Wang and Ee-Peng Lim / [et al.] -- On Data Clustering Analysis: Scalability, Constraints, and Validation / Osmar R. Zaiane, Andrew Foss and Chi-Hoon Lee / [et al.] -- Discovering Numeric Association Rules via Evolutionary Algorithm / Jacinto Mata, Jose-Luis Alvarez and Jose-Cristonal Riquelme -- Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining / Jochen Hipp, Christoph Mangold and Ulrich Guntzer / [et al.] -- Association Rule Mining on Remotely Sensed Images Using P-trees / Qin Ding, Qiang Ding and William Perrizo -- On the Efficiency of Association-Rule Mining Algorithms / Vikram Pudi and Jayant R. Haritsa -- A Function-Based Classifier Learning Scheme Using Genetic Programming / Jung-Yi Lin, Been-Chian Chien and Tzung-Pei Hong -- SNNB: A Selective Neighborhood Based Naive Bayes for Lazy Learning / Zhipeng Xie, Wynne Hsu and Zongtian Liu / [et al.] -- A Method to Boost Naive Bayesian Classifiers / Lili Diao, Keyun Hu and Yuchang Lu / [et al.] -- Toward Bayesian Classifiers with Accurate Probabilities / Charles X. Ling and Huajie Zhang -- Pruning Redundant Association Rules Using Maximum Entropy Principle / Szymon Jaroszewicz and Dan A. Simovici -- A Confidence-Lift Support Specification for Interesting Associations Mining / Wen-Yang Lin, Ming-Cheng Tseng and Ja-Hwung Su -- Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators / Marzena Kryszkiewicz and Marcin Gajek -- Mining Interesting Association Rules: A Data Mining Language / Show-Jane Yen and Yue-Shi Lee -- The Lorenz Dominance Order as a Measure of Interestingness in KDD / Robert J. Hilderman -- Efficient Algorithms for Incremental Update of Frequent Sequences / Minghua Zhang, Ben Kao and David Cheung / [et al.] -- DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology / Ming-Yen Lin, Suh-Yin Lee and Sheng-Shun Wang -- Self-Similarity for Data Mining and Predictive Modeling -- A Case Study for Network Data / Jafar Adibi, Wei-Min Shen and Eaman Noorbakhsh -- A New Mechanism of Mining Network Behavior / Shun-Chieh Lin, Shian-Shyong Tseng and Yao-Tsung Lin -- M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining / Michael Ng and Joshua Huang -- An Incremental Hierarchical Data Clustering Algorithm Based on Gravity Theory / Chien-Yu Chen, Shien-Ching Hwang and Yen-Jen Oyang -- Adding Personality to Information Clustering / Ah-Hwee Tan and Hong Pan -- Clustering Large Categorical Data / Francois-Xavier Jollois and Mohamed Nadif -- WebFrame: In Pursuit of Computationally and Cognitively Efficient Web Mining / Tong Zheng, Yonghe Niu and Randy Goebel -- Naviz: Website Navigational Behavior Visualizer / Bowo Prasetyo, Iko Pramudiono and Katsumi Takahashi / [et al.] -- Optimal Algorithms for Finding User Access Sessions from Very Large Web Logs / Zhixiang Chen, Ada Wai-Chee Fu and Frank Chi-Hung Tong -- Automatic Information Extraction for Multiple Singular Web Pages / Chia-Hui Chang, Shih-Chien Kuo and Kuo-Yu Hwang / [et al.] -- An Improved Approach for the Discovery of Causal Models via MML / Honghua Dai and Gang Li -- SETM[superscript *]-MaxK: An Efficient SET-Based Approach to Find the Largest Intemset / Ye-In Chang and Yu-Ming Hsieh -- Discovery of Ordinal Association Rules / Sylvie Guillaume -- Value Added Association Rules / T. Y. Lin, Y. Y. Yao and E. Louie -- Top Down FP-Growth for Association Rule Mining / Ke Wang, Liu Tang and Jiawei Han / [et al.] -- Discovery of Frequent Tag Tree Patterns in Semistructured Web Documents / Tetsuhiro Miyahara, Yusuke Suzuki and Takayoshi Shoudai / [et al.] -- Extracting Characteristic Structures among Words in Semistructured Documents / Kazuyoshi Furukawa, Tomoyuki Uchida and Kazuya Yamada / [et al.] -- An Efficient Algorithm for Incremental Update of Concept Space / Felix Cheung, Ben Kao and David Cheung / [et al.] -- Efficient Constraint-Based Exploratory Mining on Large Data Cubes / Cuiping Li, Shengen Li and Shan Wang / [et al.] -- Efficient Utilization of Materialized Views in a Data Warehouse / Don-Lin Yang, Man-Lin Huang and Ming-Chuan Hung -- Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR / Ning Zhong and Juzhen Dong -- Evaluation of Techniques for Classifying Biological Sequences / Mukund Deshpande and George Karypis -- Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques / Vincent S. M. Tseng and Ching-Pin Kao -- Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem / Yulan Liang, King-Ip Lin and Arpad Kelemen -- GEC: An Evolutionary Approach for Evolving Classifiers / William W. Hsu and Ching-Chi Hsu -- An Efficient Single-Scan Algorithm for Mining Essential Jumping Emerging Patterns for Classification / Hongjian Fan and Ramamohanarao Kotagiri -- A Method to Boost Support Vector Machines / Lili Diao, Keyun Hu and Yuchang Lu / [et al.] -- Distribution Discovery: Local Analysis of Temporal Rules / Xiaoming Jin, Yuchang Lu and Chunyi Shi -- News Sensitive Stock Trend Prediction / Gabriel Pui Cheong Fung, Jeffrey Xu Yu and Wai Lam -- User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models / Dit-Yan Yeung and Yuxin Ding -- Incremental Extraction of Keyterms for Classifying Multilingual Documents in the Web / Lee-Feng Chien, Chien-Kang Huang and Hsin-Chen Chiao / [et al.] -- k-nearest Neighbor Classification of Spatial Data Streams Using P-trees / Maleq Khan, Qin Ding and William Perrizo -- Interactive Construction of Classification Rules / Jianchao Han and Nick Cercone -- Enhancing Effectiveness of Outlier Detections for Low Density Patterns / Jian Tang, Zhixiang Chen and Ada Wai-chee Fu / [et al.] -- Cluster-Based Algorithms for Dealing with Missing Values / Yoshikazu Fujikawa and TuBao Ho -- Extracting Causation Knowledge from Natural Language Texts / Ki Chan, Boon-Toh Low and Wai Lam / [et al.] -- Mining Relationship Graphs for Effective Business Objectives / Kok-Leong Ong, Wee-Keong Ng and Ee-Peng Lim
Control code
49681655
Dimensions
24 cm
Dimensions
unknown
Extent
xiii, 568 pages
Isbn
9783540437048
Isbn Type
(softcover : alk. paper)
Lccn
2002066992
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
Specific material designation
remote
Label
Advances in knowledge discovery and data mining : 6th Pacific-Asia conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002 : proceedings, Ming-Syan Chen, Philip S. Yu, Bing Liu (eds.)
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Network Data Mining and Analysis: The NEMESIS Project / Minos Garofalakis and Rajeev Rastogi -- Privacy Preserving Data Mining: Challenges and Opportunities / Ramakrishnan Srikant -- A Case for Analytical Customer Relationship Management / Jaideep Srivastava, Jau-Hwang Wang and Ee-Peng Lim / [et al.] -- On Data Clustering Analysis: Scalability, Constraints, and Validation / Osmar R. Zaiane, Andrew Foss and Chi-Hoon Lee / [et al.] -- Discovering Numeric Association Rules via Evolutionary Algorithm / Jacinto Mata, Jose-Luis Alvarez and Jose-Cristonal Riquelme -- Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining / Jochen Hipp, Christoph Mangold and Ulrich Guntzer / [et al.] -- Association Rule Mining on Remotely Sensed Images Using P-trees / Qin Ding, Qiang Ding and William Perrizo -- On the Efficiency of Association-Rule Mining Algorithms / Vikram Pudi and Jayant R. Haritsa -- A Function-Based Classifier Learning Scheme Using Genetic Programming / Jung-Yi Lin, Been-Chian Chien and Tzung-Pei Hong -- SNNB: A Selective Neighborhood Based Naive Bayes for Lazy Learning / Zhipeng Xie, Wynne Hsu and Zongtian Liu / [et al.] -- A Method to Boost Naive Bayesian Classifiers / Lili Diao, Keyun Hu and Yuchang Lu / [et al.] -- Toward Bayesian Classifiers with Accurate Probabilities / Charles X. Ling and Huajie Zhang -- Pruning Redundant Association Rules Using Maximum Entropy Principle / Szymon Jaroszewicz and Dan A. Simovici -- A Confidence-Lift Support Specification for Interesting Associations Mining / Wen-Yang Lin, Ming-Cheng Tseng and Ja-Hwung Su -- Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators / Marzena Kryszkiewicz and Marcin Gajek -- Mining Interesting Association Rules: A Data Mining Language / Show-Jane Yen and Yue-Shi Lee -- The Lorenz Dominance Order as a Measure of Interestingness in KDD / Robert J. Hilderman -- Efficient Algorithms for Incremental Update of Frequent Sequences / Minghua Zhang, Ben Kao and David Cheung / [et al.] -- DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology / Ming-Yen Lin, Suh-Yin Lee and Sheng-Shun Wang -- Self-Similarity for Data Mining and Predictive Modeling -- A Case Study for Network Data / Jafar Adibi, Wei-Min Shen and Eaman Noorbakhsh -- A New Mechanism of Mining Network Behavior / Shun-Chieh Lin, Shian-Shyong Tseng and Yao-Tsung Lin -- M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining / Michael Ng and Joshua Huang -- An Incremental Hierarchical Data Clustering Algorithm Based on Gravity Theory / Chien-Yu Chen, Shien-Ching Hwang and Yen-Jen Oyang -- Adding Personality to Information Clustering / Ah-Hwee Tan and Hong Pan -- Clustering Large Categorical Data / Francois-Xavier Jollois and Mohamed Nadif -- WebFrame: In Pursuit of Computationally and Cognitively Efficient Web Mining / Tong Zheng, Yonghe Niu and Randy Goebel -- Naviz: Website Navigational Behavior Visualizer / Bowo Prasetyo, Iko Pramudiono and Katsumi Takahashi / [et al.] -- Optimal Algorithms for Finding User Access Sessions from Very Large Web Logs / Zhixiang Chen, Ada Wai-Chee Fu and Frank Chi-Hung Tong -- Automatic Information Extraction for Multiple Singular Web Pages / Chia-Hui Chang, Shih-Chien Kuo and Kuo-Yu Hwang / [et al.] -- An Improved Approach for the Discovery of Causal Models via MML / Honghua Dai and Gang Li -- SETM[superscript *]-MaxK: An Efficient SET-Based Approach to Find the Largest Intemset / Ye-In Chang and Yu-Ming Hsieh -- Discovery of Ordinal Association Rules / Sylvie Guillaume -- Value Added Association Rules / T. Y. Lin, Y. Y. Yao and E. Louie -- Top Down FP-Growth for Association Rule Mining / Ke Wang, Liu Tang and Jiawei Han / [et al.] -- Discovery of Frequent Tag Tree Patterns in Semistructured Web Documents / Tetsuhiro Miyahara, Yusuke Suzuki and Takayoshi Shoudai / [et al.] -- Extracting Characteristic Structures among Words in Semistructured Documents / Kazuyoshi Furukawa, Tomoyuki Uchida and Kazuya Yamada / [et al.] -- An Efficient Algorithm for Incremental Update of Concept Space / Felix Cheung, Ben Kao and David Cheung / [et al.] -- Efficient Constraint-Based Exploratory Mining on Large Data Cubes / Cuiping Li, Shengen Li and Shan Wang / [et al.] -- Efficient Utilization of Materialized Views in a Data Warehouse / Don-Lin Yang, Man-Lin Huang and Ming-Chuan Hung -- Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR / Ning Zhong and Juzhen Dong -- Evaluation of Techniques for Classifying Biological Sequences / Mukund Deshpande and George Karypis -- Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques / Vincent S. M. Tseng and Ching-Pin Kao -- Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem / Yulan Liang, King-Ip Lin and Arpad Kelemen -- GEC: An Evolutionary Approach for Evolving Classifiers / William W. Hsu and Ching-Chi Hsu -- An Efficient Single-Scan Algorithm for Mining Essential Jumping Emerging Patterns for Classification / Hongjian Fan and Ramamohanarao Kotagiri -- A Method to Boost Support Vector Machines / Lili Diao, Keyun Hu and Yuchang Lu / [et al.] -- Distribution Discovery: Local Analysis of Temporal Rules / Xiaoming Jin, Yuchang Lu and Chunyi Shi -- News Sensitive Stock Trend Prediction / Gabriel Pui Cheong Fung, Jeffrey Xu Yu and Wai Lam -- User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models / Dit-Yan Yeung and Yuxin Ding -- Incremental Extraction of Keyterms for Classifying Multilingual Documents in the Web / Lee-Feng Chien, Chien-Kang Huang and Hsin-Chen Chiao / [et al.] -- k-nearest Neighbor Classification of Spatial Data Streams Using P-trees / Maleq Khan, Qin Ding and William Perrizo -- Interactive Construction of Classification Rules / Jianchao Han and Nick Cercone -- Enhancing Effectiveness of Outlier Detections for Low Density Patterns / Jian Tang, Zhixiang Chen and Ada Wai-chee Fu / [et al.] -- Cluster-Based Algorithms for Dealing with Missing Values / Yoshikazu Fujikawa and TuBao Ho -- Extracting Causation Knowledge from Natural Language Texts / Ki Chan, Boon-Toh Low and Wai Lam / [et al.] -- Mining Relationship Graphs for Effective Business Objectives / Kok-Leong Ong, Wee-Keong Ng and Ee-Peng Lim
Control code
49681655
Dimensions
24 cm
Dimensions
unknown
Extent
xiii, 568 pages
Isbn
9783540437048
Isbn Type
(softcover : alk. paper)
Lccn
2002066992
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
Specific material designation
remote

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