dblp: PAKDD 2003 (original) (raw)

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7. PAKDD 2003: Seoul, Korea

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  • Industrial Papers (Invited)
  • Session 1B: Graph Mining
  • Session 2A: Text Mining
  • Session 2C: Web Mining
  • Session 3B: Bayesian Networks
  • Session 4A: Association Rules I
  • Session 4C: Classification I
  • Session 5B: Association Rules II
  • Session 6A: Stream Mining III
  • Session 6C: Classification II

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    Kyu-Young Whang, Jongwoo Jeon, Kyuseok Shim, Jaideep Srivastava:
    Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30 - May 2, 2003, Proceedings. Lecture Notes in Computer Science 2637, Springer 2003, ISBN 3-540-04760-3

Industrial Papers (Invited)

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    Paul S. Bradley:
    Data Mining as an Automated Service. 1-13
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    Ramasamy Uthurusamy:
    Trends and Challenges in the Industrial Applications of KDD. 14

Session 1A: Stream Mining I

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    Xingzhi Sun, Maria E. Orlowska, Xiaofang Zhou:
    Finding Event-Oriented Patterns in Long Temporal Sequences. 15-26
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    Anny Ng, Ada Wai-Chee Fu:
    Mining Frequent Episodes for Relating Financial Events and Stock Trends. 27-39

Session 1B: Graph Mining

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    Mingsheng Hong, Haofeng Zhou, Wei Wang, Baile Shi:
    An Efficient Algorithm of Frequent Connected Subgraph Extraction. 40-51
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    Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio:
    Classifier Construction by Graph-Based Induction for Graph-Structured Data. 52-62

Session 1C: Clustering I

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    Bin Zhang:
    Comparison of the Performance of Center-Based Clustering Algorithms. 63-74
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    Jörg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu, Alex Kovarsky:
    Automatic Extraction of Clusters from Hierarchical Clustering Representations. 75-87

Session 2A: Text Mining

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    Seong-Bae Park, Byoung-Tak Zhang:
    Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information. 88-99
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    Xiang Ji, Hongyuan Zha:
    Extracting Shared Topics of Multiple Documents. 100-110
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    Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang:
    An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition. 111-116
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    Tianhao Wu, William M. Pottenger:
    A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data. 117-123

Session 2B: Bio Mining

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    Annie Y. S. Lau, Siew Siew Ong, Ashesh Mahidadia, Achim G. Hoffmann, Johanna I. Westbrook, Tatjana Zrimec:
    Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules. 124-135
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    N. Rattanakronkul, T. Wattarujeekrit, Kitsana Waiyamai:
    Predicting Protein Structural Class from Closed Protein Sequences. 136-147
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    Tu Minh Phuong, Doheon Lee, Hyung Lee-Kwang:
    Learning Rules to Extract Protein Interactions from Biomedical Text. 148-158
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    Hyongguen Kim, Jong-Chan Park, Kyungsook Han:
    Predicting Protein Interactions in Human by Homologous Interactions in Yeast. 159-165

Session 2C: Web Mining

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    Yi-Dong Shen, Qiang Yang, Zhong Zhang, Hongjun Lu:
    Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation. 166-177
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    Edmond HaoCun Wu, Michael K. Ng:
    A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules. 178-190
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    Younes Hafri, Chabane Djeraba, Peter L. Stanchev, Bruno Bachimont:
    A Markovian Approach for Web User Profiling and Clustering. 191-202
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    Jason J. Jung, GeunSik Jo:
    Extracting User Interests from Bookmarks on the Web. 203-208

Session 3A: Stream Mining II

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    Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Domenico Saccà:
    Mining Frequent Instances on Workflows. 209-221
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    Jung-Hwan Oh, JeongKyu Lee, Sanjaykumar Kote:
    Real Time Video Data Mining for Surveillance Video Streams. 222-233
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    Kamran Karimi, Howard J. Hamilton:
    Distinguishing Causal and Acausal Temporal Relations. 234-240

Session 3B: Bayesian Networks

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    Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John C. Platt, Robert C. Williamson:
    Online Bayes Point Machines. 241-252
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    Yiqiu Han, Wai Lam:
    Exploiting Hierarchical Domain Values for Bayesian Learning. 253-264
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    Hongbo Shi, Zhihai Wang, Geoffrey I. Webb, Houkuan Huang:
    A New Restricted Bayesian Network Classifier. 265-270

Session 3C: Clustering II

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    Yanchang Zhao, Song Junde:
    AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets. 271-282
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    Ickjai Lee, Mary-Anne Williams:
    Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus. 283-294
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    Jae-Woo Chang:
    An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data. 295-300

Session 4A: Association Rules I

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    Chia-Hui Chang, Shi-Hsan Yang:
    Enhancing SWF for Incremental Association Mining by Itemset Maintenance. 301-312
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    Vikram Pudi, Jayant R. Haritsa:
    Reducing Rule Covers with Deterministic Error Bounds. 313-324
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    P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
    Evolutionary Approach for Mining Association Rules on Dynamic Databases. 325-336

Session 4B: Semi-structured Data Mining

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    Yi Lu, Christie I. Ezeife:
    Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining. 337-349
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    Bo-Hyun Yun, Myungeun Lim, Soo-Hyun Park:
    An Integrated System of Mining HTML Texts and Filtering Structured Documents. 350-355
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    Ho-pong Leung, Korris Fu-Lai Chung, Stephen Chi-fai Chan:
    A New Sequential Mining Approach to XML Document Similarity Computation. 356-362

Session 4C: Classification I

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    Myung-Won Kim, Joung Woo Ryu, Samkeun Kim, Joong Geun Lee:
    Optimization of Fuzzy Rules for Classification Using Genetic Algorithm. 363-375
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    Hyunjung Shin, Sungzoon Cho:
    Fast Pattern Selection for Support Vector Classifiers. 376-387
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    Yongdai Kim:
    Averaged Boosting: A Noise-Robust Ensemble Method. 388-393
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    Chenzhou Ye, Jie Yang, Lixiu Yao, Nian-yi Chen:
    Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule. 394-398

Session 5A: Data Analysis

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    Li Wei, Weining Qian, Aoying Zhou, Wen Jin, Jeffrey Xu Yu:
    HOT: Hypergraph-Based Outlier Test for Categorical Data. 399-410
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    Pierre-Emmanuel Jouve, Nicolas Nicoloyannis:
    A Method for Aggregating Partitions, Applications in K.D.D. 411-422
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    Pauline Lienhua Chou, Xiuzhen Zhang:
    Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding. 423-429
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    Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Sachio Hirokawa, Kenichi Takahashi, Hiroaki Ueda:
    Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data. 430-436

Session 5B: Association Rules II

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    Chao Liu, Ming Zhang, Minrui Zheng, Yixin Chen:
    Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube. 437-448
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    Chang-Hung Lee, Jian Chih Ou, Ming-Syan Chen:
    Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining. 449-460
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    Sanjay Chawla, Bavani Arunasalam, Joseph G. Davis:
    Mining Open Source Software (OSS) Data Using Association Rules Network. 461-466
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    Iko Pramudiono, Masaru Kitsuregawa:
    Parallel FP-Growth on PC Cluster. 467-473

Session 5C: Feature Selection

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    Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda:
    Active Feature Selection Using Classes. 474-485
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    Christopher R. Palmer, Christos Faloutsos:
    Electricity Based External Similarity of Categorical Attributes. 486-500
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    Ying Yang, Geoffrey I. Webb:
    Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. 501-512
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    Shoji Hirano, Shusaku Tsumoto:
    Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach. 513-518

Session 6A: Stream Mining III

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    Zhigang Li, Liangang Liu, Margaret H. Dunham:
    Considering Correlation between Variables to Improve Spatiotemporal Forecasting. 519-531
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    Pusheng Zhang, Yan Huang, Shashi Shekhar, Vipin Kumar:
    Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach. 532-544
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    Qingguo Zheng, Ke Xu, Shilong Ma:
    When to Update the Sequential Patterns of Stream Data? 545-550

Session 6B: Clustering III

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    Jinmei Xu, Hui Xiong, Sam Yuan Sung, Vipin Kumar:
    A New Clustering Algorithm for Transaction Data via Caucus. 551-562
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    Xin Wang, Howard J. Hamilton:
    DBRS: A Density-Based Spatial Clustering Method with Random Sampling. 563-575
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    Sang Hyun Oh, Won Suk Lee:
    Optimized Clustering for Anomaly Intrusion Detection. 576-581

Session 6C: Classification II

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    Yuko Itokawa, Tomoyuki Uchida, Takayoshi Shoudai, Tetsuhiro Miyahara, Yasuaki Nakamura:
    Finding Frequent Subgraphs from Graph Structured Data with Geometric Information and Its Application to Lossless Compression. 582-594
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    Ratthachat Chatpatanasiri, Boonserm Kijsirikul:
    Upgrading ILP Rules to First-Order Bayesian Networks. 595-601
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    Youngok Kim, Soowon Lee:
    A Clustering Validity Assessment Index. 602-608

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