13. PAKDD 2009: Bangkok, Thailand

Keynote Speeches

• Guang-Zhong Yang:
  KDD for BSN - Towards the Future of Pervasive Sensing. 1
  
• Jeffrey Xu Yu:
  Finding Hidden Structures in Relational Databases. 2
  
• Andrew Tomkins:
  The Future of Search: An Online Content Perspective. 3
  

Regular Papers

• Biao Qin, Yuni Xia, Fang Li:
  DTU: A Decision Tree for Uncertain Data. 4-15
  
• Xiaoyun He, Jaideep Vaidya, Basit Shafiq, Nabil R. Adam, Evimaria Terzi, Tyrone Grandison:
  Efficient Privacy-Preserving Link Discovery. 16-27
  
• Xiaowei Ying, Xintao Wu:
  On Link Privacy in Randomizing Social Networks. 28-39
  
• Agus Trisnajaya Kwee, Flora S. Tsai, Wenyin Tang:
  Sentence-Level Novelty Detection in English and Malay. 40-51
  
• Mani Arun Kumar, Madan Gopal:
  Text Categorization Using Fuzzy Proximal SVM and Distributional Clustering of Words. 52-61
  
• Kritsada Sriphaew, Hiroya Takamura, Manabu Okumura:
  Cool Blog Classification from Positive and Unlabeled Examples. 62-73
  
• Poramin Bheganan, Richi Nayak, Yue Xu:
  Thai Word Segmentation with Hidden Markov Model and Decision Tree. 74-85
  
• Shing-Kit Chan, Wai Lam:
  An Efficient Method for Generating, Storing and Matching Features for Text Mining. 86-97
  
• Krikamol Muandet, Sanparith Marukatat, Cholwich Nattee:
  Robust Graph Hyperparameter Learning for Graph Based Semi-supervised Classification. 98-109
  
• Jun Sun, Zhiyong Shen, Bai Su, Yi-Dong Shen:
  Regularized Local Reconstruction for Clustering. 110-121
  
• Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi, Mohammed J. Zaki:
  Clustering with Lower Bound on Similarity. 122-133
  
• Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
  Approximate Spectral Clustering. 134-146
  
• Chun-Ling Chen, Frank S. C. Tseng, Tyne Liang:
  An Integration of Fuzzy Association Rules and WordNet for Document Clustering. 147-159
  
• Ureerat Wattanachon, Jakkarin Suksawatchon, Chidchanok Lursinsap:
  Nonlinear Data Analysis Using a New Hybrid Data Clustering Algorithm. 160-171
  
• Takashi Katoh, Hiroki Arimura, Kouichi Hirata:
  A Polynomial-Delay Polynomial-Space Algorithm for Extracting Frequent Diamond Episodes from Event Sequences. 172-183
  
• Nizar Bouguila, Khalid Daoudi:
  A Statistical Approach for Binary Vectors Modeling and Clustering. 184-195
  
• Chandan K. Reddy, Jin Hyeong Park:
  Multi-resolution Boosting for Classification and Regression Problems. 196-207
  
• Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Chiranjib Bhattacharyya:
  Interval Data Classification under Partial Information: A Chance-Constraint Approach. 208-219
  
• Einoshin Suzuki:
  Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules. 220-231
  
• Show-Jane Yen, Yue-Shi Lee, Chiu-Kuang Wang, Jung-Wei Wu, Liang-Yuh Ouyang:
  The Studies of Mining Frequent Patterns Based on Frequent Pattern Tree. 232-241
  
• Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed, Byeong-Soo Jeong, Young-Koo Lee:
  Discovering Periodic-Frequent Patterns in Transactional Databases. 242-253
  
• Zhiyuan Liu, Yabin Zheng, Maosong Sun:
  Quantifying Asymmetric Semantic Relations from Query Logs by Resource Allocation. 254-265
  
• Wilson Wong, Wei Liu, Mohammed Bennamoun:
  Acquiring Semantic Relations Using the Web for Constructing Lightweight Ontologies. 266-277
  
• Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu:
  Detecting Abnormal Events via Hierarchical Dirichlet Processes. 278-289
  
• Guoliang Li, Tze-Yun Leong:
  Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy. 290-301
  
• Bin Liu, Ying Yang, Geoffrey I. Webb, Janice R. Boughton:
  A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification. 302-313
  
• Shinichi Nakajima, Masashi Sugiyama:
  Analysis of Variational Bayesian Matrix Factorization. 314-326
  
• Sabri Boutemedjet, Djemel Ziou:
  Variational Bayesian Approach for Long-Term Relevance Feedback. 327-338
  
• Young-joo Chung, Masashi Toyoda, Masaru Kitsuregawa:
  Detecting Link Hijacking by Web Spammers. 339-350
  
• Nan-Chen Hsieh, Lun-Ping Hung, Chia-Ling Ho:
  A Data Driven Ensemble Classifier for Credit Scoring Analysis. 351-362
  
• Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham:
  A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams. 363-375
  
• Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu:
  Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data. 376-388
  
• Pei Li, Yuanzhe Cai, Hongyan Liu, Jun He, Xiaoyong Du:
  Exploiting the Block Structure of Link Graph for Efficient Similarity Computation. 389-400
  
• Yunpeng Cai, Yijun Sun, Jian Li, Steve Goodison:
  Online Feature Selection Algorithm with Bayesian l1 Regularization. 401-413
  
• Hong Zeng, Yiu-ming Cheung:
  Feature Selection for Local Learning Based Clustering. 414-425
  
• Hwanjo Yu, Youngdae Kim, Seung-won Hwang:
  RV-SVM: An Efficient Method for Learning Ranking SVM. 426-438
  
• Huzefa Rangwala, Christopher Kauffman, George Karypis:
  A Kernel Framework for Protein Residue Annotation. 439-451
  
• Kohei Hayashi, Junichiro Hirayama, Shin Ishii:
  Dynamic Exponential Family Matrix Factorization. 452-462
  
• Nizar Bouguila, Djemel Ziou:
  A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization. 463-474
  

Short Papers

• Chumphol Bunkhumpornpat, Krung Sinapiromsaran, Chidchanok Lursinsap:
  Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling TEchnique for Handling the Class Imbalanced Problem. 475-482
  
• Elsa Loekito, James Bailey:
  Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile?. 483-490
  
• Muhammad Arif, Fayyaz A. Afsar, Muhammad Usman Akram, Adnan Fida:
  Arif Index for Predicting the Classification Accuracy of Features and Its Application in Heart Beat Classification Problem. 491-498
  
• Carlos Soares:
  UCI++: Improved Support for Algorithm Selection Using Datasetoids. 499-506
  
• Peter Christen, Agus Pudjijono:
  Accurate Synthetic Generation of Realistic Personal Information. 507-514
  
• Murat Kantarcioglu, Robert Nix, Jaideep Vaidya:
  An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining. 515-524
  
• Peerasak Intarapaiboon, Ekawit Nantajeewarawat, Thanaruk Theeramunkong:
  Information Extraction from Thai Text with Unknown Phrase Boundaries. 525-532
  
• Jakkrit TeCho, Cholwich Nattee, Thanaruk Theeramunkong:
  A Corpus-Based Approach for Automatic Thai Unknown Word Recognition using Ensemble Learning Techniques. 533-540
  
• Jianyong Duan, Mei Zhang, Lijing Tong, Feng Guo:
  A Hybrid Approach to Improve Bilingual Multiword Expression Extraction. 541-547
  
• Palakorn Achananuparp, Xiaohua Hu, Christopher C. Yang:
  Addressing the Variability of Natural Language Expression in Sentence Similarity with Semantic Structure of the Sentences. 548-555
  
• Ovidiu Dan, Horatiu Mocian:
  Scalable Web Mining with Newistic. 556-563
  
• Qiang Qiu, Yang Zhang, Junping Zhu:
  Building a Text Classifier by a Keyword and Unlabeled Documents. 564-571
  
• Jie Tang, Jing Zhang:
  A Discriminative Approach to Topic-Based Citation Recommendation. 572-579
  
• Akegapon Tangverapong, Atiwong Suchato, Proadpran Punyabukkana:
  Romanization of Thai Proper Names Based on Popularity of Usages. 580-587
  
• Zhi-Hua Zhou, Michael K. Ng, Qiao-Qiao She, Yuan Jiang:
  Budget Semi-supervised Learning. 588-595
  
• Charles X. Ling, Jun Du, Zhi-Hua Zhou:
  When does Co-training Work in Real Data?. 596-603
  
• Dong-Chul Park, Yunsik Lee, Dong-Min Woo:
  Classification of Audio Signals Using a Bhattacharyya Kernel-Based Centroid Neural Network. 604-611
  
• Junbin Gao, Jun Zhang:
  Sparse Kernel Learning and the Relevance Units Machine. 612-619
  
• Su Yan, Alex Hai Wang, Dongwon Lee, C. Lee Giles:
  Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces. 620-627
  
• Anna Huang, David N. Milne, Eibe Frank, Ian H. Witten:
  Clustering Documents Using a Wikipedia-Based Concept Representation. 628-636
  
• Ana Funes, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana:
  An Instantiation of Hierarchical Distance-Based Conceptual Clustering for Propositional Learning. 637-646
  
• Minh Duc Cao, Trevor I. Dix, Lloyd Allison:
  Computing Substitution Matrices for Genomic Comparative Analysis. 647-655
  
• Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid:
  Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data. 656-663
  
• Albrecht Zimmermann, Björn Bringmann:
  Aggregated Subset Mining. 664-672
  
• Thomas Bernecker, Hans-Peter Kriegel, Matthias Renz, Andreas Züfle:
  Hot Item Detection in Uncertain Data. 673-680
  
• Yifeng Zeng, Jorge Cordero Hernandez, Shuyuan Lin:
  Spanning Tree Based Attribute Clustering. 681-688
  
• João Mendes-Moreira, Carlos Soares, Alípio Mário Jorge, Jorge Freire de Sousa:
  The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction. 689-696
  
• Hankui Zhuo, Qiang Yang, Lei Li:
  Transfer Learning Action Models by Measuring the Similarity of Different Domains. 697-704
  
• Yannick Le Bras, Philippe Lenca, Stéphane Lallich:
  On Optimal Rule Mining: A Framework and a Necessary and Sufficient Condition of Antimonotonicity. 705-712
  
• Einoshin Suzuki:
  Discovering Action Rules That Are Highly Achievable from Massive Data. 713-722
  
• Dong-Kun Shin, Sang-Hong Lee, Joon S. Lim:
  Extracting Fuzzy Rules for Detecting Ventricular Arrhythmias Based on NEWFM. 723-730
  
• Shohei Hido, Hirofumi Matsuzawa, Fumihiko Kitayama, Masayuki Numao:
  Trace Mining from Distributed Assembly Databases for Causal Analysis. 731-740
  
• Kam Tong Chan, Irwin King:
  Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis. 741-748
  
• Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer, Byeong-Soo Jeong, Young-Koo Lee:
  An Efficient Candidate Pruning Technique for High Utility Pattern Mining. 749-756
  
• Yong Zhen Guo, Kotagiri Ramamohanarao, Laurence A. F. Park:
  Grouped ECOC Conditional Random Fields for Prediction of Web User Behavior. 757-763
  
• Depin Chen, Ning Liu, Zhijun Yin, Yang Tong, Jun Yan, Zheng Chen:
  CLHQS: Hierarchical Query Suggestion by Mining Clickthrough Log. 764-771
  
• Long Wang, Christoph Meinel:
  X-Tracking the Changes of Web Navigation Patterns. 772-779
  
• Majid Yazdani, Milad Eftekhar, Hassan Abolhassani:
  Tree-Based Method for Classifying Websites Using Extended Hidden Markov Models. 780-787
  
• Hui He, Bo Chen, Jun Guo:
  Emotion Recognition of Pop Music Based on Maximum Entropy with Priors. 788-795
  
• Tieyun Qian, Jaideep Srivastava, Zhiyong Peng, Phillip C.-Y. Sheu:
  Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method. 796-803
  
• Xiaojun Wan, Jianguo Xiao:
  Towards a Novel Association Measure via Web Search Results Mining. 804-812
  
• Ke Zhang, Marcus Hutter, Huidong Jin:
  A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. 813-822
  
• Chi-Cheong Szeto, Edward Hung:
  Mining Outliers with Faster Cutoff Update and Space Utilization. 823-830
  
• Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek:
  Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. 831-838
  
• Md. Anisuzzaman Siddique, Yasuhiko Morimoto:
  K-Dominant Skyline Computation by Using Sort-Filtering Method. 839-848
  
• Zhipeng Xie:
  Effective Boosting of Naïve Bayesian Classifiers by Local Accuracy Estimation. 849-858
  
• Seungmin Rho, Seheon Song, Eenjun Hwang, Minkoo Kim:
  COMUS: Ontological and Rule-Based Reasoning for Music Recommendation System. 859-866
  
• Xin Chen, Xiaohua Hu, Xiajiong Shen:
  Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval. 867-874
  
• Hideitsu Hino, Yu Fujimoto, Noboru Murata:
  Item Preference Parameters from Grouped Ranking Observations. 875-882
  
• Shunkai Fu, Bingfeng Pi, Ying Zhou, Michel C. Desmarais, Weilei Wang, Song Han, Xunrong Rao:
  Cross-Channel Query Recommendation on Commercial Mobile Search Engine: Why, How and Empirical Evaluation. 883-890
  
• Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet:
  Data Mining for Intrusion Detection: From Outliers to True Intrusions. 891-898
  
• Alice Marascu, Florent Masseglia:
  A Multi-resolution Approach for Atypical Behaviour Mining. 899-906
  
• Chun-Sheng Chen, Vadeerat Rinsurongkawong, Christoph F. Eick, Michael D. Twa:
  Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions. 907-914
  
• Dong-Chul Park:
  Centroid Neural Network with Spatial Constraints. 915-922
  
• Kuo-Wei Hsu, Jaideep Srivastava:
  Diversity in Combinations of Heterogeneous Classifiers. 923-932
  
• Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura, Masayuki Numao:
  Growth Analysis of Neighbor Network for Evaluation of Damage Progress. 933-940
  
• Xiaoyan Shen, Junliang Chen, Xiangwu Meng, Yujie Zhang, Chuanchang Liu:
  A Parallel Algorithm for Finding Related Pages in the Web by Using Segmented Link Structures. 941-948
  
• Xiaoshi Yin, Xiangji Huang, Qinmin Hu, Zhoujun Li:
  Boosting Biomedical Information Retrieval Performance through Citation Graph: An Empirical Study. 949-956
  
• Yun Li, Su-Jun Hu, Wen-Jie Yang, Guo-Zi Sun, Fang-Wu Yao, Geng Yang:
  Similarity-Based Feature Selection for Learning from Examples with Continuous Values. 957-964
  
• Dominique Gay, Nazha Selmaoui, Jean-François Boulicaut:
  Application-Independent Feature Construction from Noisy Samples. 965-972
  
• Sombut Foitong, Pornthep Rojanavasu, Boonwat Attachoo, Ouen Pinngern:
  Estimating Optimal Feature Subsets Using Mutual Information Feature Selector and Rough Sets. 973-980
  
• Pongsakorn Ruengronghirunya, Vit Niennattrakul, Chotirat Ann Ratanamahatana:
  Speeding Up Similarity Search on a Large Time Series Dataset under Time Warping Distance. 981-988
  
• Poat Sajjipanon, Chotirat Ann Ratanamahatana:
  A Novel Fractal Representation for Dimensionality Reduction of Large Time Series Data. 989-996
  
• Ling-Yin Wei, Wen-Chih Peng:
  Clustering Data Streams in Optimization and Geography Domains. 997-1005
  
• Stefan Hoeglinger, Russel Pears, Yun Sing Koh:
  CBDT: A Concept Based Approach to Data Stream Mining. 1006-1012
  
• Vit Niennattrakul, Chotirat Ann Ratanamahatana:
  Meaningful Subsequence Matching under Time Warping Distance for Data Stream. 1013-1020
  
• Peng Zhang, Xingquan Zhu, Yong Shi, Xindong Wu:
  An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise. 1021-1029
  
• Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda:
  On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. 1030-1037
  
• Ithipan Methasate, Thanaruk Theeramunkong:
  A Family-Based Evolutional Approach for Kernel Tree Selection in SVMs. 1038-1045
  
• Ye Xu, Shen Furao, Osamu Hasegawa, Jinxi Zhao:
  An Online Incremental Learning Vector Quantization. 1046-1053
  
• Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang:
  On Mining Rating Dependencies in Online Collaborative Rating Networks. 1054-1061
  
• Steffen Rendle, Christine Preisach, Lars Schmidt-Thieme:
  Learning to Extract Relations for Relational Classification. 1062-1071
  

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