8. PAKDD 2004:
Sydney, Australia
Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang (Eds.):
Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings.
Lecture Notes in Computer Science 3056 Springer 2004, ISBN 3-540-22064-X 
Invited Speeches
Session 1A:
Classification (I)
Session 1B:
Clustering (I)
Session 1C:
Association Rules (I)
Session 2A:
Novel Algorithms (I)
- Roger Ming Hieng Ting, James Bailey, Kotagiri Ramamohanarao:
ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm.
96-105
- Peng Han, Bo Xie, Fan Yang, Ruimin Shen:
A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay Network.
106-115
- Andy M. Yip, Edmond HaoCun Wu, Michael K. Ng, Tony F. Chan:
An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams.
116-120
- Tim Churches, Peter Christen:
Blind Data Linkage Using n-gram Similarity Comparisons.
121-126
- Arnaud Soulet, Bruno Crémilleux, François Rioult:
Condensed Representation of Emerging Patterns.
127-132
Session 2B:
Association (II)
- Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda:
Discovery of Maximally Frequent Tag Tree Patterns with Contractible Variables from Semistructured Documents.
133-144
- Zhenxing Qin, Li Liu, Shichao Zhang:
Mining Term Association Rules for Heuristic Query Construction.
145-154
- Francesco Bonchi, Bart Goethals:
FP-Bonsai: The Art of Growing and Pruning Small FP-Trees.
155-160
- Dhananjay R. Thiruvady, Geoffrey I. Webb:
Mining Negative Rules Using GRD.
161-165
- Jiye Li, Bin Tang, Nick Cercone:
Applying Association Rules for Interesting Recommendations Using Rule Templates.
166-170
Session 2C:
Classification (II)
- Byung-Joo Kim, Il Kon Kim, Kwang-Baek Kim:
Feature Extraction and Classification System for Nonlinear and Online Data.
171-180
- Dan A. Simovici, Szymon Jaroszewicz:
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index.
181-190
- Yang Zhang, Zhanhuai Li, Yan Tang, Kebin Cui:
DRC-BK: Mining Classification Rules with Help of SVM.
191-195
- Jing Liu, Weicai Zhong, Fang Liu, Licheng Jiao:
A New Data Mining Method Using Organizational Coevolutionary Mechanism.
196-200
- Hongjian Fan, Kotagiri Ramamohanarao:
Noise Tolerant Classification by Chi Emerging Patterns.
201-206
- Hamad Alhammady, Kotagiri Ramamohanarao:
The Application of Emerging Patterns for Improving the Quality of Rare-Class Classification.
207-211
Session 3A:
Event Mining, Anomaly Detection, and Intrusion Detection
- Xingzhi Sun, Maria E. Orlowska, Xue Li:
Finding Negative Event-Oriented Patterns in Long Temporal Sequences.
212-221
- Cui Zhu, Hiroyuki Kitagawa, Spiros Papadimitriou, Christos Faloutsos:
OBE: Outlier by Example.
222-234
- Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin:
Temporal Sequence Associations for Rare Events.
235-239
- Takehisa Yairi, Shiro Ogasawara, Koichi Hori, Shinichi Nakasuka, Naoki Ishihama:
Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns.
240-244
- Xiaoshu Hang, Honghua Dai:
An Extended Negative Selection Algorithm for Anomaly Detection.
245-254
- Joshua Oldmeadow, Siddarth Ravinutala, Christopher Leckie:
Adaptive Clustering for Network Intrusion Detection.
255-259
Session 3B:
Ensemble Learning
Session 3C:
Bayesian Network and Graph Mining
Session 3D:
Text Mining (I)
- Tomoyuki Uchida, Tomonori Mogawa, Yasuaki Nakamura:
Finding Frequent Structural Features among Words in Tree-Structured Documents.
351-360
- Adam Kowalczyk, Bhavani Raskutti, Herman L. Ferrá:
Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining.
361-372
- Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu:
Classifying Text Streams in the Presence of Concept Drifts.
373-383
- Jaeho Kang, Kwang Ryel Ryu, Hyuk-Chul Kwon:
Using Cluster-Based Sampling to Select Initial Training Set for Active Learning in Text Classification.
384-388
- Wenyuan Li, Wee Keong Ng, Ee-Peng Lim:
Spectral Analysis of Text Collection for Similarity-Based Clustering.
389-393
Session 4A:
Clustering (II)
- Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Clustering Multi-represented Objects with Noise.
394-403
- Anoop Jain, Parag Sarda, Jayant R. Haritsa:
Providing Diversity in K-Nearest Neighbor Query Results.
404-413
- Chris H. Q. Ding, Xiaofeng He:
Cluster Structure of K-means Clustering via Principal Component Analysis.
414-418
- Shuai Ma, Shiwei Tang, Dongqing Yang, Tengjiao Wang, Jinqiang Han:
Combining Clustering with Moving Sequential Pattern Mining: A Novel and Efficient Technique.
419-423
- Denny, Vincent C. S. Lee:
An Alternative Methodology for Mining Seasonal Pattern Using Self-Organizing Map.
424-430
Session 4B:
Association (III)
- Raymond Chi-Wing Wong, Ada Wai-Chee Fu:
ISM: Item Selection for Marketing with Cross-Selling Considerations.
431-440
- Chen Wang, Mingsheng Hong, Jian Pei, Haofeng Zhou, Wei Wang, Baile Shi:
Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining.
441-451
- Ling Chen, Sourav S. Bhowmick, Liang-Tien Chia:
Mining Association Rules from Structural Deltas of Historical XML Documents.
452-457
- Zhiheng Li, Jeffrey Xu Yu, Hongjun Lu, Yabo Xu, Guimei Liu:
Data Mining Proxy: Serving Large Number of Users for Efficient Frequent Itemset Mining.
458-463
Session 4C:
Novel Algorithms (II)
Session 4D:
Multimedia Mining
Session 5A:
Text Mining and Web Mining (II)
- Jun-Peng Bao, Jun-Yi Shen, Xiao-Dong Liu, Hai-Yan Liu, Xiao-Di Zhang:
Semantic Sequence Kin: A Method of Document Copy Detection.
529-538
- I-Ane Huang, Jan-Ming Ho, Hung-Yu Kao, Shian-Hua Lin:
Extracting Citation Metadata from Online Publication Lists Using BLAST.
539-548
- Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng:
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models.
549-558
- Yi Chen:
Discovering Ordered Tree Patterns from XML Queries.
559-563
- Shanchan Wu, Wenyuan Wang:
Predicting Web Requests Efficiently Using a Probability Model.
564-568
Session 5B:
Statistical Methods, Sequential Data Mining, and Time Series Mining
Session 5C:
Novel Algorithms (III)
Session 5D:
Biomedical Mining
- Tatiana Semenova, Markus Hegland, Warwick Graco, Graham J. Williams:
Conceptual Mining of Large Administrative Health Data.
659-669
- Ahmed Amrani, Yves Kodratoff, Oriane Matte-Tailliez:
A Semi-automatic System for Tagging Specialized Corpora.
670-681
- Jinyan Li, Kotagiri Ramamohanarao:
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer.
682-691
- Vincent Shin-Mu Tseng, Ching-Pin Kao:
A Novel Parameter-Less Clustering Method for Mining Gene Expression Data.
692-698
- Paul J. Kennedy, Simeon J. Simoff, David B. Skillicorn, Daniel R. Catchpoole:
Extracting and Explaining Biological Knowledge in Microarray Data.
699-703
- Ke Yin, Ian Davidson:
Further Applications of a Particle Visualization Framework.
704-710
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