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7. PAKDD 2003: Seoul, Korea
- 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)
- Paul S. Bradley:
Data Mining as an Automated Service. 1-13 - Ramasamy Uthurusamy:
Trends and Challenges in the Industrial Applications of KDD. 14
Session 1A: Stream Mining I
- Xingzhi Sun, Maria E. Orlowska, Xiaofang Zhou
:
Finding Event-Oriented Patterns in Long Temporal Sequences. 15-26 - Anny Ng, Ada Wai-Chee Fu:
Mining Frequent Episodes for Relating Financial Events and Stock Trends. 27-39
Session 1B: Graph Mining
- Mingsheng Hong, Haofeng Zhou, Wei Wang, Baile Shi:
An Efficient Algorithm of Frequent Connected Subgraph Extraction. 40-51 - 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
- Bin Zhang:
Comparison of the Performance of Center-Based Clustering Algorithms. 63-74 - Jörg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu, Alex Kovarsky:
Automatic Extraction of Clusters from Hierarchical Clustering Representations. 75-87
Session 2A: Text Mining
- Seong-Bae Park, Byoung-Tak Zhang:
Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information. 88-99 - Xiang Ji, Hongyuan Zha:
Extracting Shared Topics of Multiple Documents. 100-110 - Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang:
An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition. 111-116 - Tianhao Wu, William M. Pottenger:
A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data. 117-123
Session 2B: Bio Mining
- 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 - N. Rattanakronkul, T. Wattarujeekrit, Kitsana Waiyamai:
Predicting Protein Structural Class from Closed Protein Sequences. 136-147 - Tu Minh Phuong, Doheon Lee, Hyung Lee-Kwang:
Learning Rules to Extract Protein Interactions from Biomedical Text. 148-158 - Hyongguen Kim, Jong-Chan Park, Kyungsook Han:
Predicting Protein Interactions in Human by Homologous Interactions in Yeast. 159-165
Session 2C: Web Mining
- Yi-Dong Shen, Qiang Yang, Zhong Zhang, Hongjun Lu:
Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation. 166-177 - Edmond HaoCun Wu, Michael K. Ng:
A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules. 178-190 - Younes Hafri, Chabane Djeraba, Peter L. Stanchev, Bruno Bachimont:
A Markovian Approach for Web User Profiling and Clustering. 191-202 - Jason J. Jung, GeunSik Jo:
Extracting User Interests from Bookmarks on the Web. 203-208
Session 3A: Stream Mining II
- Gianluigi Greco, Antonella Guzzo, Giuseppe Manco
Mining Frequent Instances on Workflows. 209-221 - Jung-Hwan Oh, JeongKyu Lee, Sanjaykumar Kote:
Real Time Video Data Mining for Surveillance Video Streams. 222-233 - Kamran Karimi
Distinguishing Causal and Acausal Temporal Relations. 234-240
Session 3B: Bayesian Networks
- Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John C. Platt, Robert C. Williamson:
Online Bayes Point Machines. 241-252 - Yiqiu Han, Wai Lam:
Exploiting Hierarchical Domain Values for Bayesian Learning. 253-264 - Hongbo Shi, Zhihai Wang, Geoffrey I. Webb
A New Restricted Bayesian Network Classifier. 265-270
Session 3C: Clustering II
- Yanchang Zhao, Song Junde:
AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets. 271-282 - Ickjai Lee, Mary-Anne Williams:
Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus. 283-294 - Jae-Woo Chang:
An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data. 295-300
Session 4A: Association Rules I
- Chia-Hui Chang
Enhancing SWF for Incremental Association Mining by Itemset Maintenance. 301-312 - Vikram Pudi
Reducing Rule Covers with Deterministic Error Bounds. 313-324 - P. Deepa Shenoy, K. G. Srinivasa
Evolutionary Approach for Mining Association Rules on Dynamic Databases. 325-336
Session 4B: Semi-structured Data Mining
- Yi Lu, Christie I. Ezeife:
Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining. 337-349 - Bo-Hyun Yun, Myungeun Lim, Soo-Hyun Park:
An Integrated System of Mining HTML Texts and Filtering Structured Documents. 350-355 - 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
- Myung-Won Kim, Joung Woo Ryu, Samkeun Kim, Joong Geun Lee:
Optimization of Fuzzy Rules for Classification Using Genetic Algorithm. 363-375 - Hyunjung Shin, Sungzoon Cho:
Fast Pattern Selection for Support Vector Classifiers. 376-387 - Yongdai Kim:
Averaged Boosting: A Noise-Robust Ensemble Method. 388-393 - 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
- Li Wei, Weining Qian, Aoying Zhou, Wen Jin, Jeffrey Xu Yu:
HOT: Hypergraph-Based Outlier Test for Categorical Data. 399-410 - Pierre-Emmanuel Jouve, Nicolas Nicoloyannis:
A Method for Aggregating Partitions, Applications in K.D.D. 411-422 - Pauline Lienhua Chou, Xiuzhen Zhang:
Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding. 423-429 - 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
- 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 - Chang-Hung Lee, Jian Chih Ou, Ming-Syan Chen:
Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining. 449-460 - Sanjay Chawla, Bavani Arunasalam, Joseph G. Davis:
Mining Open Source Software (OSS) Data Using Association Rules Network. 461-466 - Iko Pramudiono, Masaru Kitsuregawa:
Parallel FP-Growth on PC Cluster. 467-473
Session 5C: Feature Selection
- Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda:
Active Feature Selection Using Classes. 474-485 - Christopher R. Palmer, Christos Faloutsos
Electricity Based External Similarity of Categorical Attributes. 486-500 - Ying Yang, Geoffrey I. Webb
Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. 501-512 - Shoji Hirano, Shusaku Tsumoto:
Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach. 513-518
Session 6A: Stream Mining III
- Zhigang Li, Liangang Liu, Margaret H. Dunham:
Considering Correlation between Variables to Improve Spatiotemporal Forecasting. 519-531 - Pusheng Zhang, Yan Huang
Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach. 532-544 - Qingguo Zheng, Ke Xu, Shilong Ma:
When to Update the Sequential Patterns of Stream Data? 545-550
Session 6B: Clustering III
- Jinmei Xu, Hui Xiong, Sam Yuan Sung, Vipin Kumar:
A New Clustering Algorithm for Transaction Data via Caucus. 551-562 - Xin Wang, Howard J. Hamilton:
DBRS: A Density-Based Spatial Clustering Method with Random Sampling. 563-575 - Sang Hyun Oh, Won Suk Lee:
Optimized Clustering for Anomaly Intrusion Detection. 576-581
Session 6C: Classification II
- 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 - Ratthachat Chatpatanasiri, Boonserm Kijsirikul:
Upgrading ILP Rules to First-Order Bayesian Networks. 595-601 - Youngok Kim, Soowon Lee:
A Clustering Validity Assessment Index. 602-608
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