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ORCID10. PAKDD 2006: Singapore
- Wee Keong Ng, Masaru Kitsuregawa, Jianzhong Li, Kuiyu Chang:
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
Keynote Speech
- David J. Hand:
Protection or Privacy? Data Mining and Personal Data. 1-10 - Prabhakar Raghavan
:
The Changing Face of Web Search. 11
Invited Speech
- Bhavani M. Thuraisingham:
Data Mining for Surveillance Applications. 12-14
Classification
- Qi Qiang, Qinming He:
A Multiclass Classification Method Based on Output Design. 15-19 - Lianwei Zhao, Siwei Luo, Yanchang Zhao, Lingzhi Liao, Zhihai Wang:
Regularized Semi-supervised Classification on Manifold. 20-29 - Cheong Hee Park:
Similarity-Based Sparse Feature Extraction Using Local Manifold Learning. 30-34 - Dan A. Simovici, Szymon Jaroszewicz:
Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees. 35-44 - Dae-Ki Kang, Adrian Silvescu, Vasant G. Honavar:
RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. 45-54 - Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar:
TRIPPER: Rule Learning Using Taxonomies. 55-59 - Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi:
Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. 60-69 - Hidenao Abe, Takahira Yamaguchi:
Constructive Meta-level Feature Selection Method Based on Method Repositories. 70-80
Ensemble Learning
- Fei Tony Liu, Kai Ming Ting:
Variable Randomness in Decision Tree Ensembles. 81-90 - Hongjian Fan, Ming Fan, Kotagiri Ramamohanarao, Mengxu Liu:
Further Improving Emerging Pattern Based Classifiers Via Bagging. 91-96 - Eibe Frank, Bernhard Pfahringer:
Improving on Bagging with Input Smearing. 97-106 - Yang Liu, Aijun An, Xiangji Huang:
Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles. 107-118
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 - Dae-Won Kim, Bo-Yeong Kang:
Iterative Clustering Analysis for Grouping Missing Data in Gene Expression Profiles. 129-138 - Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
An EM-Approach for Clustering Multi-Instance Objects. 139-148 - Lizheng Jiang, Dongqing Yang, Shiwei Tang, Xiuli Ma, Dehui Zhang:
Mining Maximal Correlated Member Clusters in High Dimensional Database. 149-159 - Le Hoai Minh, Le Thi Hoai An, Pham Dinh Tao:
Hierarchical Clustering Based on Mathematical Optimization. 160-173 - Elke Achtert, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Clustering Multi-represented Objects Using Combination Trees. 174-178 - Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfeifle:
Parallel Density-Based Clustering of Complex Objects. 179-188 - 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 - Michael Chau, Reynold Cheng, Ben Kao, Jackey Ng:
Uncertain Data Mining: An Example in Clustering Location Data. 199-204
Support Vector Machines
- Yumao Lu, Vwani P. Roychowdhury:
Parallel Randomized Support Vector Machine. 205-214 - Dongil Kim, Sungzoon Cho:
epsilon-Tube Based Pattern Selection for Support Vector Machines. 215-224 - Ping Ling, Yan Wang, Chunguang Zhou:
Self-adaptive Two-Phase Support Vector Clustering for Multi-Relational Data Mining. 225-229 - Yasutoshi Yajima:
One-Class Support Vector Machines for Recommendation Tasks. 230-239
Text and Document Mining
- Huai-Yuan Yang, Tie-Yan Liu, Li Gao, Wei-Ying Ma:
Heterogeneous Information Integration in Hierarchical Text Classification. 240-249 - Aixin Sun, Ee-Peng Lim, Boualem Benatallah, Mahbub Hassan:
FISA: Feature-Based Instance Selection for Imbalanced Text Classification. 250-254 - Rey-Long Liu:
Dynamic Category Profiling for Text Filtering and Classification. 255-264 - Minh-Hoang Le, Tu Bao Ho, Yoshiteru Nakamori:
Detecting Citation Types Using Finite-State Machines. 265-274 - Shaozhi Ye, Ji-Rong Wen, Wei-Ying Ma:
A Systematic Study of Parameter Correlations in Large Scale Duplicate Document Detection. 275-284 - Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Bell:
Comparison of Documents Classification Techniques to Classify Medical Reports. 285-291 - Richi Nayak, Sumei Xu:
XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML Documents. 292-302 - Illhoi Yoo, Xiaohua Hu:
Clustering Large Collection of Biomedical Literature Based on Ontology-Enriched Bipartite Graph Representation and Mutual Refinement Strategy. 303-312
Web Mining
- Guang Feng, Tie-Yan Liu, Xudong Zhang, Wei-Ying Ma:
Level-Biased Statistics in the Hierarchical Structure of the Web. 313-322 - Qiankun Zhao, Sourav S. Bhowmick, Le Gruenwald:
Cleopatra: Evolutionary Pattern-Based Clustering of Web Usage Data. 323-333 - Tak-Lam Wong, Wai Lam, Shing-Kit Chan:
Extracting and Summarizing Hot Item Features Across Different Auction Web Sites. 334-345 - Caren Moraes Nichele, Karin Becker:
Clustering Web Sessions by Levels of Page Similarity. 346-350 - Qiankun Zhao, Sourav S. Bhowmick, Aixin Sun:
iWed: An Integrated Multigraph Cut-Based Approach for Detecting Events from a Website. 351-360 - Zhigang Zhang, Weijia Jia, Xiaoming Li:
Enhancing Duplicate Collection Detection Through Replica Boundary Discovery. 361-370
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 - Jure Leskovec, Ajit Singh, Jon M. Kleinberg:
Patterns of Influence in a Recommendation Network. 380-389 - 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 - Xueyuan Zhou, Chunping Li:
Combining Smooth Graphs with Semi-supervised Classification. 400-409 - John Galloway, Simeon J. Simoff:
Network Data Mining: Discovering Patterns of Interaction Between Attributes. 410-414
Association Rule Mining
- John Goh, David Taniar, Ee-Peng Lim:
SGPM: Static Group Pattern Mining Using Apriori-Like Sliding Window. 415-424 - Ling Chen, Sourav S. Bhowmick, Jinyan Li:
Mining Temporal Indirect Associations. 425-434 - Chienwen Wu:
Mining Top-K Frequent Closed Itemsets Is Not in APX. 435-439 - Laure Berti-Équille:
Quality-Aware Association Rule Mining. 440-449 - 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 - James Cheng, Yiping Ke, Wilfred Ng:
Maintaining Frequent Itemsets over High-Speed Data Streams. 462-467 - Marzena Kryszkiewicz:
Generalized Disjunction-Free Representation of Frequents Patterns with at Most k Negations. 468-472 - Yun Sing Koh, Nathan Rountree, Richard A. O'Keefe:
Mining Interesting Imperfectly Sporadic Rules. 473-482 - Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong:
Improved Negative-Border Online Mining Approaches. 483-492 - Si Quang Le, Tu Bao Ho, Le Sy Vinh:
Association-Based Dissimilarity Measures for Categorical Data: Limitation and Improvement. 493-498 - Shichao Zhang, Jeffrey Xu Yu, Jingli Lu, Chengqi Zhang:
Is Frequency Enough for Decision Makers to Make Decisions?. 499-503 - Shariq Bashir, Abdul Rauf Baig:
Ramp: High Performance Frequent Itemset Mining with Efficient Bit-Vector Projection Technique. 504-508 - Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi:
Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices. 509-519
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 - 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 - Yen Kaow Ng, Takeshi Shinohara:
Finding Consensus Patterns in Very Scarce Biosequence Samples from Their Minimal Multiple Generalizations. 540-545 - Adam Woznica, Alexandros Kalousis, Melanie Hilario:
Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints. 546-551 - Yaochun Huang, Hui Xiong, Weili Wu, Sam Yuan Sung:
Mining Quantitative Maximal Hyperclique Patterns: A Summary of Results. 552-556
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 - Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang:
A Fast Greedy Algorithm for Outlier Mining. 567-576 - Wen Jin, Anthony K. H. Tung, Jiawei Han, Wei Wang:
Ranking Outliers Using Symmetric Neighborhood Relationship. 577-593 - Kyubum Wee, Sinjae Kim:
Construction of Finite Automata for Intrusion Detection from System Call Sequences by Genetic Algorithms. 594-602 - Hansung Lee, Yongwha Chung, Daihee Park:
An Adaptive Intrusion Detection Algorithm Based on Clustering and Kernel-Method. 603-610 - Abhinav Srivastava, Shamik Sural, Arun K. Majumdar:
Weighted Intra-transactional Rule Mining for Database Intrusion Detection. 611-620
Privacy
- Wen Jin, Rong Ge, Weining Qian:
On Robust and Effective K-Anonymity in Large Databases. 621-636 - Huseyin Polat, Wenliang Du:
Achieving Private Recommendations Using Randomized Response Techniques. 637-646 - Hwanjo Yu, Jaideep Vaidya, Xiaoqian Jiang:
Privacy-Preserving SVM Classification on Vertically Partitioned Data. 647-656
Relational Database
- Beibei Zou, Xuesong Ma, Bettina Kemme, Glen Newton, Doina Precup:
Data Mining Using Relational Database Management Systems. 657-667 - Christine Körner, Stefan Wrobel:
Bias-Free Hypothesis Evaluation in Multirelational Domains. 668-672 - Ramanathan Balachandran, Srihari Padmanabhan, Sharma Chakravarthy:
Enhanced DB-Subdue: Supporting Subtle Aspects of Graph Mining Using a Relational Approach. 673-678
Multimedia Mining
- Bo Yang, Ali R. Hurson:
Multimedia Semantics Integration Using Linguistic Model. 679-688 - Chuanjun Li, B. Prabhakaran:
A Novel Indexing Approach for Efficient and Fast Similarity Search of Captured Motions. 689-698 - Wei-Ta Chen, Yi-Ling Chen, Ming-Syan Chen:
Mining Frequent Spatial Patterns in Image Databases. 699-703 - Ming Li, Yanong Zhu:
Image Classification Via LZ78 Based String Kernel: A Comparative Study. 704-712
Stream Data Mining
- Jimeng Sun, Spiros Papadimitriou, Christos Faloutsos:
Distributed Pattern Discovery in Multiple Streams. 713-718 - Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen:
COMET: Event-Driven Clustering over Multiple Evolving Streams. 719-723 - Ming-Yen Lin, Sue-Chen Hsueh, Sheng-Kun Hwang:
Variable Support Mining of Frequent Itemsets over Data Streams Using Synopsis Vectors. 724-728 - Wei-Chuan Liu, Ken-Hao Liu, Ming-Syan Chen:
Hardware Enhanced Mining for Association Rules. 729-738 - 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 - Yu Meng, Margaret H. Dunham:
Efficient Mining of Emerging Events in a Dynamic Spatiotemporal Environment. 750-754
Temporal Data Mining
- Xinqiang Zuo, Xiaoming Jin:
A Multi-Hierarchical Representation for Similarity Measurement of Time Series. 755-764 - Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps:
Multistep-Ahead Time Series Prediction. 765-774 - Yu Hirate, Hayato Yamana:
Sequential Pattern Mining with Time Intervals. 775-779 - Weimin Tong, Yijun Li, Qiang Ye:
A Wavelet Analysis Based Data Processing for Time Series of Data Mining Predicting. 780-789
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 - Weida Zhou, Li Zhang, Licheng Jiao:
Hidden Space Principal Component Analysis. 801-805 - De-Chuan Zhan, Zhi-Hua Zhou:
Neighbor Line-Based Locally Linear Embedding. 806-815 - Luís Torgo, Rita P. Ribeiro:
Predicting Rare Extreme Values. 816-820 - Longbing Cao, Chengqi Zhang:
Domain-Driven Actionable Knowledge Discovery in the Real World. 821-830 - Karen H. L. Tso, Lars Schmidt-Thieme:
Evaluation of Attribute-Aware Recommender System Algorithms on Data with Varying Characteristics. 831-840
Innovative Applications
- A. Majid Awan, Mohd. Noor Md. Sap:
An Intelligent System Based on Kernel Methods for Crop Yield Prediction. 841-846 - Zhen Xu, Binheng Song:
A Machine Learning Application for Human Resource Data Mining Problem. 847-856 - Shuguang Zhao, Mingying Zhao, Jun Zhao, Licheng Jiao:
Towards Automated Design of Large-Scale Circuits by Combining Evolutionary Design with Data Mining. 857-866 - 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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