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Author Pacific-Asia Conference on Knowledge Discovery and Data Mining (6th : 2002 : Taipei, Taiwan)

Title 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.)
Published Berlin ; London : Springer, [2002]


Location Call no. Vol. Availability
 MELB  006.3 Pac/Aik 2002  AVAILABLE
Description xiii, 568 pages : illustrations ; 24 cm
Series Lecture notes in computer science ; 2336.. Lecture notes in artificial intelligence
Lecture notes in computer science.. Lecture notes in artificial intelligence, 0302-9743 ; 2336
Lecture notes in computer science ; 2336
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science. Lecture notes in artificial intelligence. 0302-9743 ; 2336
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
Bibliography Includes bibliographical references and index
Notes Also available in print
Mode of access: World Wide Web
Subject Database management -- Congresses.
Database searching -- Congresses.
Data mining -- Congresses.
Genre/Form Kongress
Conference papers and proceedings.
Taipeh (2002)
Author Yu, Philip S.
Chen, Ming-Syan, 1959-
Liu, Bing, 1963-
LC no. 2002066992
ISBN 3540437045 paperback