10. PAKDD 2006:
Singapore
Wee Keong Ng, Masaru Kitsuregawa, Jianzhong Li, Kuiyu Chang (Eds.):
Advances in Knowledge Discovery and Data Mining, 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings.
Lecture Notes in Computer Science 3918 Springer 2006, ISBN 3-540-33206-5 BibTeX
Keynote Speech
Invited Speech
Classification
- Qi Qiang, Qinming He:
A Multiclass Classification Method Based on Output Design.
15-19
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- Lianwei Zhao, Siwei Luo, Yanchang Zhao, Lingzhi Liao, Zhihai Wang:
Regularized Semi-supervised Classification on Manifold.
20-29
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- Cheong Hee Park:
Similarity-Based Sparse Feature Extraction Using Local Manifold Learning.
30-34
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- Dan A. Simovici, Szymon Jaroszewicz:
Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees.
35-44
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- Dae-Ki Kang, Adrian Silvescu, Vasant Honavar:
RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification.
45-54
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- Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant Honavar:
TRIPPER: Rule Learning Using Taxonomies.
55-59
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- Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi:
Using Weighted Nearest Neighbor to Benefit from Unlabeled Data.
60-69
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- Hidenao Abe, Takahira Yamaguchi:
Constructive Meta-level Feature Selection Method Based on Method Repositories.
70-80
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Ensemble Learning
Clustering
- Elke Achtert, Christian Böhm, Peer Kröger:
DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking.
119-128
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- Dae-Won Kim, Bo-Yeong Kang:
Iterative Clustering Analysis for Grouping Missing Data in Gene Expression Profiles.
129-138
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- Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
An EM-Approach for Clustering Multi-Instance Objects.
139-148
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- Lizheng Jiang, Dongqing Yang, Shiwei Tang, Xiuli Ma, Dehui Zhang:
Mining Maximal Correlated Member Clusters in High Dimensional Database.
149-159
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- Le Hoai Minh, Le Thi Hoai An, Pham Dinh Tao:
Hierarchical Clustering Based on Mathematical Optimization.
160-173
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- Elke Achtert, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Clustering Multi-represented Objects Using Combination Trees.
174-178
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- Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfeifle:
Parallel Density-Based Clustering of Complex Objects.
179-188
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- Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu:
Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering.
189-198
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- Michael Chau, Reynold Cheng, Ben Kao, Jackey Ng:
Uncertain Data Mining: An Example in Clustering Location Data.
199-204
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Support Vector Machines
Text and Document Mining
- Huai-Yuan Yang, Tie-Yan Liu, Li Gao, Wei-Ying Ma:
Heterogeneous Information Integration in Hierarchical Text Classification.
240-249
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- Aixin Sun, Ee-Peng Lim, Boualem Benatallah, Mahbub Hassan:
FISA: Feature-Based Instance Selection for Imbalanced Text Classification.
250-254
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- Rey-Long Liu:
Dynamic Category Profiling for Text Filtering and Classification.
255-264
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- Minh-Hoang Le, Tu Bao Ho, Yoshiteru Nakamori:
Detecting Citation Types Using Finite-State Machines.
265-274
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- Shaozhi Ye, Ji-Rong Wen, Wei-Ying Ma:
A Systematic Study of Parameter Correlations in Large Scale Duplicate Document Detection.
275-284
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- Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell:
Comparison of Documents Classification Techniques to Classify Medical Reports.
285-291
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- Richi Nayak, Sumei Xu:
XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML Documents.
292-302
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- Illhoi Yoo, Xiaohua Hu:
Clustering Large Collection of Biomedical Literature Based on Ontology-Enriched Bipartite Graph Representation and Mutual Refinement Strategy.
303-312
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Web Mining
- Guang Feng, Tie-Yan Liu, Xu-Dong Zhang, Wei-Ying Ma:
Level-Biased Statistics in the Hierarchical Structure of the Web.
313-322
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- Qiankun Zhao, Sourav S. Bhowmick, Le Gruenwald:
Cleopatra: Evolutionary Pattern-Based Clustering of Web Usage Data.
323-333
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- Tak-Lam Wong, Wai Lam, Shing-Kit Chan:
Extracting and Summarizing Hot Item Features Across Different Auction Web Sites.
334-345
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- Caren Moraes Nichele, Karin Becker:
Clustering Web Sessions by Levels of Page Similarity.
346-350
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- Qiankun Zhao, Sourav S. Bhowmick, Aixin Sun:
iWed: An Integrated Multigraph Cut-Based Approach for Detecting Events from a Website.
351-360
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- Zhigang Zhang, Weijia Jia, Xiaoming Li:
Enhancing Duplicate Collection Detection Through Replica Boundary Discovery.
361-370
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Graph and Network Mining
- Preetha Appan, Hari Sundaram, Belle L. Tseng:
Summarization and Visualization of Communication Patterns in a Large-Scale Social Network.
371-379
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- Jure Leskovec, Ajit Singh, Jon M. Kleinberg:
Patterns of Influence in a Recommendation Network.
380-389
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- Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio:
Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction.
390-399
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- Xueyuan Zhou, Chunping Li:
Combining Smooth Graphs with Semi-supervised Classification.
400-409
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- John Galloway, Simeon J. Simoff:
Network Data Mining: Discovering Patterns of Interaction Between Attributes.
410-414
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Association Rule Mining
- John Goh, David Taniar, Ee-Peng Lim:
SGPM: Static Group Pattern Mining Using Apriori-Like Sliding Window.
415-424
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- Ling Chen, Sourav S. Bhowmick, Jinyan Li:
Mining Temporal Indirect Associations.
425-434
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- Chienwen Wu:
Mining Top-K Frequent Closed Itemsets Is Not in APX.
435-439
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- Laure Berti-Equille:
Quality-Aware Association Rule Mining.
440-449
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- Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabeth Chang, Ling Feng:
IMB3-Miner: Mining Induced/Embedded Subtrees by Constraining the Level of Embedding.
450-461
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- James Cheng, Yiping Ke, Wilfred Ng:
Maintaining Frequent Itemsets over High-Speed Data Streams.
462-467
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- Marzena Kryszkiewicz:
Generalized Disjunction-Free Representation of Frequents Patterns with at Most k Negations.
468-472
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- Yun Sing Koh, Nathan Rountree, Richard A. O'Keefe:
Mining Interesting Imperfectly Sporadic Rules.
473-482
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- Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong:
Improved Negative-Border Online Mining Approaches.
483-492
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- Si Quang Le, Tu Bao Ho, Le Sy Vinh:
Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement.
493-498
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- Shichao Zhang, Jeffrey Xu Yu, Jingli Lu, Chengqi Zhang:
Is Frequency Enough for Decision Makers to Make Decisions?.
499-503
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- Shariq Bashir, Abdul Rauf Baig:
Ramp: High Performance Frequent Itemset Mining with Efficient Bit-Vector Projection Technique.
504-508
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- Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices.
509-519
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Bio-data Mining
- Shinn-Ying Ho, Chih-Hung Hsieh, Kuan-Wei Chen, Hui-Ling Huang, Hung-Ming Chen, Shinn-Jang Ho:
Scoring Method for Tumor Prediction from Microarray Data Using an Evolutionary Fuzzy Classifier.
520-529
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- Chen-Ming Hsu, Chien-Yu Chen, Ching-Chi Hsu, Baw-Jhiune Liu:
Efficient Discovery of Structural Motifs from Protein Sequences with Combination of Flexible Intra- and Inter-block Gap Constraints.
530-539
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- Yen Kaow Ng, Takeshi Shinohara:
Finding Consensus Patterns in Very Scarce Biosequence Samples from Their Minimal Multiple Generalizations.
540-545
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- Adam Woznica, Alexandros Kalousis, Melanie Hilario:
Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints.
546-551
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- Yaochun Huang, Hui Xiong, Weili Wu, Sam Yuan Sung:
Mining Quantitative Maximal Hyperclique Patterns: A Summary of Results.
552-556
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Outlier and Intrusion Detection
- Hongqin Fan, Osmar R. Zaïane, Andrew Foss, Junfeng Wu:
A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data.
557-566
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- Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang:
A Fast Greedy Algorithm for Outlier Mining.
567-576
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- Wen Jin, Anthony K. H. Tung, Jiawei Han, Wei Wang:
Ranking Outliers Using Symmetric Neighborhood Relationship.
577-593
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- Kyubum Wee, Sinjae Kim:
Construction of Finite Automata for Intrusion Detection from System Call Sequences by Genetic Algorithms.
594-602
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- Hansung Lee, Yongwha Chung, Daihee Park:
An Adaptive Intrusion Detection Algorithm Based on Clustering and Kernel-Method.
603-610
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- Abhinav Srivastava, Shamik Sural, Arun K. Majumdar:
Weighted Intra-transactional Rule Mining for Database Intrusion Detection.
611-620
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Privacy
Relational Database
Multimedia Mining
Stream Data Mining
- Jimeng Sun, Spiros Papadimitriou, Christos Faloutsos:
Distributed Pattern Discovery in Multiple Streams.
713-718
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- Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen:
COMET: Event-Driven Clustering over Multiple Evolving Streams.
719-723
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- Ming-Yen Lin, Sue-Chen Hsueh, Sheng-Kun Hwang:
Variable Support Mining of Frequent Itemsets over Data Streams Using Synopsis Vectors.
724-728
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- Wei-Chuan Liu, Ken-Hao Liu, Ming-Syan Chen:
Hardware Enhanced Mining for Association Rules.
729-738
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- Yang-Sae Moon, Jin-Ho Kim:
A Single Index Approach for Time-Series Subsequence Matching That Supports Moving Average Transform of Arbitrary Order.
739-749
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- Yu Meng, Margaret H. Dunham:
Efficient Mining of Emerging Events in a Dynamic Spatiotemporal Environment.
750-754
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Temporal Data Mining
Novel Algorithms
- Shinn-Jang Ho, Wen-Yuan Ku, Jun-Wun Jou, Ming-Hao Hung, Shinn-Ying Ho:
Intelligent Particle Swarm Optimization in Multi-objective Problems.
790-800
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- Weida Zhou, Li Zhang, Licheng Jiao:
Hidden Space Principal Component Analysis.
801-805
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- De-Chuan Zhan, Zhi-Hua Zhou:
Neighbor Line-Based Locally Linear Embedding.
806-815
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- Luís Torgo, Rita Ribeiro:
Predicting Rare Extreme Values.
816-820
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- Longbing Cao, Chengqi Zhang:
Domain-Driven Actionable Knowledge Discovery in the Real World.
821-830
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- Karen H. L. Tso, Lars Schmidt-Thieme:
Evaluation of Attribute-Aware Recommender System Algorithms on Data with Varying Characteristics.
831-840
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Innovative Applications
- A. Majid Awan, Mohd. Noor Md. Sap:
An Intelligent System Based on Kernel Methods for Crop Yield Prediction.
841-846
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- Zhen Xu, Binheng Song:
A Machine Learning Application for Human Resource Data Mining Problem.
847-856
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- Shuguang Zhao, Mingying Zhao, Jun Zhao, Licheng Jiao:
Towards Automated Design of Large-Scale Circuits by Combining Evolutionary Design with Data Mining.
857-866
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- Huidong Jin, Jie Chen, Chris Kelman, Hongxing He, Damien McAullay, Christine M. O'Keefe:
Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases.
867-876
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Copyright © Sat May 16 23:32:24 2009
by Michael Ley (ley@uni-trier.de)
