dblp: PAKDD 2002 (original) (raw)

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6. PAKDD 2002: Taipei, Taiwan

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  • Industrial Papers (Invited)
  • Association Rules (I)
  • Interestingness
  • Clustering
  • Association Rules (II)
  • Data Warehouse and Data Cube
  • Classification (II)
  • Classification (III)

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• > Home > Conferences and Workshops > PAKDD

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    Ming-Shan Cheng, Philip S. Yu, Bing Liu:
    Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002, Proceedings. Lecture Notes in Computer Science 2336, Springer 2002, ISBN 3-540-43704-5

Industrial Papers (Invited)

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    Minos N. Garofalakis, Rajeev Rastogi:
    Network Data Mining and Analysis: The NEMESIS Project. 1-12
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    Ramakrishnan Srikant:
    Privacy Preserving Data Mining: Challenges and Opportunities. 13

Survey Papers (Invited)

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    Jaideep Srivastava, Jau-Hwang Wang, Ee-Peng Lim, San-Yih Hwang:
    A Case for Analytical Customer Relationship Management. 14-27
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    Osmar R. Zaïane, Andrew Foss, Chi-Hoon Lee, Weinan Wang:
    On Data Clustering Analysis: Scalability, Constraints, and Validation. 28-39

Association Rules (I)

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    Jacinto Mata Vázquez, José Luis Álvarez Macías, José Cristóbal Riquelme Santos:
    Discovering Numeric Association Rules via Evolutionary Algorithm. 40-51
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    Jochen Hipp, Christoph Mangold, Ulrich Güntzer, Gholamreza Nakhaeizadeh:
    Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining. 52-65
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    Qin Ding, Qiang Ding, William Perrizo:
    Association Rule Mining on Remotely Sensed Images Using P-trees. 66-79
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    Vikram Pudi, Jayant R. Haritsa:
    On the Efficiency of Association-Rule Mining Algorithms. 80-91

Classification (I)

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    Jung-Yi Lin, Been-Chian Chien, Tzung-Pei Hong:
    A Function-Based Classifier Learning Scheme Using Genetic Programming. 92-103
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    Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong-Li Lee:
    SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning. 104-114
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    Lili Diao, Keyun Hu, Yuchang Lu, Chunyi Shi:
    A Method to Boost Naïve Bayesian Classifiers. 115-122
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    Charles X. Ling, Huajie Zhang:
    Toward Bayesian Classifiers with Accurate Probabilities. 123-134

Interestingness

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    Szymon Jaroszewicz, Dan A. Simovici:
    Pruning Redundant Association Rules Using Maximum Entropy Principle. 135-147
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    Wen-Yang Lin, Ming-Cheng Tseng, Ja-Hwung Su:
    A Confidence-Lift Support Specification for Interesting Associations Mining. 148-158
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    Marzena Kryszkiewicz, Marcin Gajek:
    Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators. 159-171
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    Show-Jane Yen, Yue-Shi Lee:
    Mining Interesting Association Rules: A Data Mining Language. 172-176
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    Robert J. Hilderman:
    The Lorenz Dominance Order as a Measure of Interestingness in KDD. 177-185

Sequence Mining

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    Minghua Zhang, Ben Kao, David Wai-Lok Cheung, Chi Lap Yip:
    Efficient Algorithms for Incremental Update of Frequent Sequences. 186-197
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    Ming-Yen Lin, Suh-Yin Lee, Sheng-Shun Wang:
    DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology. 198-209
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    Jafar Adibi, Wei-Min Shen, Eaman Noorbakhsh:
    Self-Similarity for Data Mining and Predictive Modeling - A Case Study for Network Data. 210-217
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    Shun-Chieh Lin, Shian-Shyong Tseng, Yao-Tsung Lin:
    A New Mechanism of Mining Network Behavior. 218-223

Clustering

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    Michael K. Ng, Joshua Zhexue Huang:
    M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. 224-236
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    Chien-Yu Chen, Shien-Ching Hwang, Yen-Jen Oyang:
    An Incremental Hierarchical Data Clustering Algorithm Based on Gravity Theory. 237-250
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    Ah-Hwee Tan, Hong Pan:
    Adding Personality to Information Clustering. 251-256
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    François-Xavier Jollois, Mohamed Nadif:
    Clustering Large Categorical Data. 257-263

Web Mining

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    Tong Zheng, Yonghe Niu, Randy Goebel:
    WebFrame: In Pursuit of Computationally and Cognitively Efficient Web Mining. 264-275
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    Bowo Prasetyo, Iko Pramudiono, Katsumi Takahashi, Masaru Kitsuregawa:
    Naviz : Website Navigational Behavior Visualizer. 276-289
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    Zhixiang Chen, Ada Wai-Chee Fu, Frank Chi-Hung Tong:
    Optimal Algorithms for Finding User Access Sessions from Very Large Web Logs. 290-296
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    Chia-Hui Chang, Shih-Chien Kuo, Kuo-Yu Huang, Tsung-Hsin Ho, Chih-Lung Lin:
    Automatic Information Extraction for Multiple Singular Web Pages. 297-303

Association Rules (II)

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    Honghua Dai, Gang Li:
    An Improved Approach for the Discovery of Causal Models via MML. 304-315
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    Ye-In Chang, Yu-Ming Hsieh:
    SETM*-MaxK: An Efficient SET-Based Approach to Find the Largest Itemset. 316-321
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    Sylvie Guillaume:
    Discovery of Ordinal Association Rules. 322-327
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    Tsau Young Lin, Y. Y. Yao, Eric Louie:
    Value Added Association Rules. 328-333
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    Ke Wang, Liu Tang, Jiawei Han, Junqiang Liu:
    Top Down FP-Growth for Association Rule Mining. 334-340

Semi-structure & Concept Mining

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    Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda:
    Discovery of Frequent Tag Tree Patterns in Semistructured Web Documents. 341-355
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    Kazuyoshi Furukawa, Tomoyuki Uchida, Kazuya Yamada, Tetsuhiro Miyahara, Takayoshi Shoudai, Yasuaki Nakamura:
    Extracting Characteristic Structures among Words in Semistructured Documents. 356-367
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    Felix Cheung, Ben Kao, David Wai-Lok Cheung, Chi-Yuen Ng:
    An Efficient Algorithm for Incremental Update of Concept Spaces. 368-380

Data Warehouse and Data Cube

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    Cuiping Li, Sheng-En Li, Shan Wang, Xiaoyong Du:
    Efficient Constraint-Based Exploratory Mining on Large Data Cubes. 381-392
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    Don-Lin Yang, Man-Lin Huang, Ming-Chuan Hung:
    Efficient Utilization of Materialized Views in a Data Warehouse. 393-404

Bio-Data Mining

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    Ning Zhong, Juzhen Dong:
    Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR. 405-416
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    Mukund Deshpande, George Karypis:
    Evaluation of Techniques for Classifying Biological Sequences. 417-431
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    Vincent Shin-Mu Tseng, Ching-Pin Kao:
    Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques. 432-437

Classification (II)

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    Yulan Liang, King-Ip Lin, Arpad Kelemen:
    Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem. 438-449
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    William W. Hsu, Ching-Chi Hsu:
    GEC: An Evolutionary Approach for Evolving Classifiers. 450-455
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    Hongjian Fan, Kotagiri Ramamohanarao:
    An Efficient Single-Scan Algorithm for Mining Essential Jumping Emerging Patterns for Classification. 456-462
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    Lili Diao, Keyun Hu, Yuchang Lu, Chunyi Shi:
    A Method to Boost Support Vector Machines. 463-468

Temporal Mining

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    Xiaoming Jin, Yuchang Lu, Chunyi Shi:
    Distribution Discovery: Local Analysis of Temporal Rules. 469-480
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    Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam:
    News Sensitive Stock Trend Prediction. 481-493
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    Dit-Yan Yeung, Yuxin Ding:
    User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models. 494-505

Classification (III)

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    Lee-Feng Chien, Chien-Kang Huang, Hsin-Chen Chiao, Shih-Jui Lin:
    Incremental Extraction of Keyterms for Classifying Multilingual Documents in the Web. 506-516
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    Maleq Khan, Qin Ding, William Perrizo:
    k-nearest Neighbor Classification on Spatial Data Streams Using P-trees. 517-518
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    Jianchao Han, Nick Cercone:
    Interactive Construction of Classification Rules. 529-534

Outliers, Missing Data, and Causation

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    Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, David Wai-Lok Cheung:
    Enhancing Effectiveness of Outlier Detections for Low Density Patterns. 535-548
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    Yoshikazu Fujikawa, Tu Bao Ho:
    Cluster-Based Algorithms for Dealing with Missing Values. 549-554
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    Ki Chan, Boon Toh Low, Wai Lam, Kai-Pui Lam:
    Extracting Causation Knowledge from Natural Language Texts. 555-560
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    Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim:
    Mining Relationship Graphs for Effective Business Objectives. 561-566

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