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Sirindhorn International Institute of Technology (SIIT)

Thammasat University

Chulalongkorn University

Asian Institute of Technology (AIT)

Conference Program

| Program Summary | Program Details |

Main Conference Paper Presentation

Regular paper presentations are indicated in the program by (Regular). Each regular paper presentation is allocated with 25 minutes, with 20 minutes for presentation and 5 minutes for questions; and each short paper presentation is allocated with 18 minutes, with 15 minutes for presentation and 3 minutes for questions. Please be at the presentation room 10 minutes before the session and contact your session chair. A staff will help you to connect your laptop with the LCD projector. To recognize session chairs, find the sign attached to the name badge.

Program Summary

Click on the workshop name to see the detailed program.

April 27, 2009
Room	Time	Workshop	Details
Queen’s Park 4 (2nd floor)	08:30 - 17:30	PAISI'09	http://www.fbe.hku.hk/~mchau/paisi/program.htm
Queen’s Park 5 (2nd floor)	08:30 -12:30	ICEC'09	http://www.nd.edu/~dial/Workshop2009/ workshop2009.html
Queen’s Park 5 (2nd floor)	13:30 - 17:30	QIMIE'09	http://conferences.telecom-bretagne.eu/ qimie2009/program/
Queen’s Park 6 (2nd floor)	08:30 - 12:00	AIBDM'09	http://www.cs.usyd.edu.au/~aibdm09/ aibdm09_schedule.html
Queen’s Park 6 (2nd floor)	13:00 - 18:30	OSDM'09	http://osdm09.togaware.com/
Sakura (37th floor)	19:00 - 22:00	Workshop Reception

April 28, 2009
	Room A	Room B	Room C	Minutes
08:30 - 09:00	Opening
09:00 - 10:00	Keynote Speech
10:00 - 10:20	Coffee Break
10:20 - 12:00	Session 1A Classification 1	Session 1B Privacy Preserving Data Mining	Session 1C Text Mining 1	100
12:00 - 13:00	Lunch
13:00 - 14:40	Session 2A Semi-Supervised Learning and SVM	Session 2B Clustering 1	Session 2C Sequence Data Mining	100
14:40 - 15:00	Coffee Break
15:00 -17:00	Session 3A Statistical Methods and Ensemble	Session 3B Rule Discovery	Session 3C Pattern Mining	120

April 29, 2009
	Room A	Room B	Room C
08:30 - 10:00	Session 4A Clustering 2	Session 4B Web Mining 1	Session 4C Text Mining 2	90
10:00 - 10:20	Coffee Break
10:20 - 12:00	Session 5A Outlier Detection	Session 5B Statistical Methods	Session 5C Recommendation Systems	100
12:00 - 13:00	Lunch
13:00 - 14:00	Invited Speech
14:00 - 15:40	Session 6A Outlier Detection and Spatial Data Mining	Session 6B Ensemble Methods	Session 6C Link Analysis	100
15:40 - 16:00	Coffee Break
16:00 - 18:00	Session 7A Feature Selection and Construction	Session 7B Stream and Time-series Data Mining	Session 7C Support Vector Machines	120
18:30 - 20:30	Banquet

April 30, 2009
	Room A	Room B	Room C
09:00 - 10:00	Keynote Speech
10:00 - 10:20	Coffee Break
10:20 - 12:00	Session 8A Classification and Link Analysis	Session 8B Web Mining 2	Session 8C Text Mining 3	100
12:00 - 13:00	Lunch
13:00 - 16:00	Excursion

Program Details

April 28, 2009
	Room A	Room B	Room C	Room D
08:30 - 09:00	Opening
09:00 - 10:00	Keynote Speech: KDD for BSN – towards the future of pervasive sensing Guang-Zhong Yang, PhD, Imperial College London
10:00 - 10:20	Coffee Break
10:20 - 12:00	Session 1A Classification 1	Session 1B Privacy Preserving Data Mining	Session 1C Text Mining 1	Tutorial A
	DTU: A Decision Tree for Uncertain Data Biao Qin, Yuni Xia, and Fang Li	Efficient Privacy-Preserving Link Discovery Xiaoyun He, Jaideep Vaidya, Basit Shafiq, Nabil Adam, Evimaria Terzi, and Tyrone Grandison	Sentence-Level Novelty Detection in English and Malay Agus Trisnajaya Kwee, Flora S Tsai, and Wenyin Tang	Domain-Driven Data Mining: Empowering Actionable Knowledge Delivery Longbing Cao
	Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-sampling TEchnique for handling the class imbalanced problem Chumphol Bunkhumpornpat, Krung Sinapiromsaran, and Chidchanok Lursinsap	On Link Privacy in Randomizing Social Networks Xintao Wu, and Xiaowei Ying	Information Extraction from Thai Text with Unknown Phrase Boundaries Peerasak Intarapaiboon, Ekawit Nantajeewarawat, and Thanaruk Theeramunkong
	Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile? Elsa Loekito, and James Bailey	Accurate Synthetic Generation of Realistic Personal Information Peter Christen, and Agus Pudjijono	A Corpus-based Approach for Automatic Thai Unknown Word Recognition using Ensemble Learning Techniques Jakkrit TeCho, Cholwich Nattee, and Thanaruk Theeramunkong
	Arif Index for Predicting the Classification Accuracy of Features and its Application in Heart Beat Classification Problem Muhammad Arif, Fayyaz Afsar, Muhammad Usman Akram, and Adnan Fida	An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining Jaideep Vaidya, Murat Kantarcioglu, and Robert Nix	A Hybrid Approach to Improve Bilingual Multiword Expression Extraction Jianyong Duan, Mei Zhang, Lijing Tong, and Feng Guo
	UCI++: Improved Support for Algorithm Selection Using Datasetoids Carlos Soares		Addressing the Variability of Natural Language Expression in Sentence Similarity with Semantic Structure of the Sentences Palakorn Achananuparp, Xiaohua Hu, and Christopher C. Yang
12:00 - 13:00	Lunch
13:00 - 14:40	Session 2A Semi-supervised Learning and SVM	Session 2B Clustering 1	Session 2C Sequence Data Mining	Tutorial B
	Robust Graph Hyperparameter Learning for Graph Based Semi-Supervised Classification Krikamol Muandet, Sanparith Marukatat, and Cholwich Nattee	Regularized Local Reconstruction for Clustering Jun Sun, Zhiyong Shen, Bai Su, and Yi-Dong Shen	A Polynomial-Delay Polynomial-Space Algorithm for Extracting Frequent Diamond Episodes from Event Sequences Takashi Katoh, Hiroki Arimura, and Kouichi Hirata	Mining Evolution of Complex Structured Data Sourav S Bhowmick
	Budget Semi-supervised Learning Zhi-Hua Zhou, Michael Ng, Qiao-Qiao She, and Yuan Jiang	Clustering with lower bound on Similarity Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi, and Mohammed Zaki	Computing Substitution Matrices for Genomic Comparative Analysis Minh Duc Cao, Trevor Dix, and Lloyd Allison
	When does Co-Training Work in Real Data? Charles X. Ling, Jun Du, and Zhi-Hua Zhou	Approximate Spectral Clustering Liang Wang, Christopher Leckie, Rao Kotagiri, and James Bezdek	Mining Both Positive and Negative Impact-Oriented Sequential Rules From Transactional Data: a Case Study in Social Security Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, and Hans Bohlscheid
	Classification of Audio Signals Using a Bhattacharyya Kernel-based Centroid Neural Network Dong-Chul Park, Yunsik Lee, and Dong-Min Woo	Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces Su Yan, Hai Wang, Dongwon Lee, and C. Lee Giles	Aggregated Subset Mining Albrecht Zimmermann, and Björn Bringmann
	Sparse Kernel Learning and the Relevance Units Machine Junbin Gao, and Jun Zhang		Hot Item Detection in Uncertain Data Matthias Renz, Andreas Zuefle, Hans-Peter Kriegel, and Thomas Bernecker
14:40 - 15:00	Coffee Break
15:00 - 17:00	Session 3A Statistical Methods and Ensemble	Session 3B Rule Discovery	Session 3C Pattern Mining	Tutorial B (cont.)
	A Statistical Approach for Binary Vectors Modeling and Clustering Nizar Bouguila, and Khalid Daoudi	Interval Data Classification under Partial Information: A Chance-Constraint Approach Sahely Bhadra, Saketha Nath Jagarlapudi, Aharon Ben-Tal, and Chiranjib Bhattacharyya	The Studies of Mining Frequent Patterns Based on Frequent Pattern Tree Show-Jane Yen, Yue-Shi Lee, Chiu-Kuang Wang, and Jung-Wei Wu	Mining Evolution of Complex Structured Data Sourav S Bhowmick
	Multi-Resolution Boosting for Classification and Regression Chandan K Reddy, and Jin-Hyeong Park	Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules Einoshin Suzuki	Discovering Periodic-Frequent Patterns in Transactional Databases Syed Khairuzzaman Tanbeer, Chowdhury Ahmed, Byeong-Soo Jeong, and Young-Koo Lee
	Spanning Tree Based Attribute Clustering Yifeng Zeng, and Jorge Cordero H.	On optimal rules discovery: a framework and a necessary and sufficient condition for optimality Yannick Le Bras, Philippe Lenca, and Stéphane Lallich	Trace Mining from Distributed Assembly Databases for Causal Analysis Shohei Hido, Hirofumi Matsuzawa, Fumihiko Kitayama, and Masayuki Numao
	The effect of parameter tuning and focusing on bus travel time prediction João Moreira, Carlos Soares, Alipio Jorge, and Jorge Freire de Sousa	Discovering Action Rules that are Highly Achievable from Massive Data Einoshin Suzuki	Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis Kam Tong Chan, and Irwin King
	Transfer Learning Action Models by Measuring the Similarity of Different Domains Hankui Zhuo, and Qiang Yang	Extracting Fuzzy Rules for Detecting Ventricular Arrhythmias Based on NEWFM Dong-Kun Shin, Sang-Hong Lee, and Joon S. Lim	An Efficient Candidate Pruning Technique for High Utility Pattern Mining Chowdhury Farhan Ahmed, Syed Tanbeer, Byeong-Soo Jeong, and Young-Koo Lee

April 29, 2009
	Room A	Room B	Room C	Room D
8:30 - 10:00	Session 4A Clustering 2	Session 4B Web Mining 1	Session 4C Text Mining 2	Tutorial C
	An Integration of Fuzzy Association Rules and WordNetfor Document Clustering Chun-Ling Chen, Frank S.C. Tseng, Tyne Liang, and Tyne Liang	Quantifying Asymmetric Semantic Relations from Query Logs by Resource Allocation Zhiyuan Liu, Yabin Zheng, and Maosong Sun	Text Categorization using Fuzzy Proximal SVM and Distributional Clustering of words Arunkumar Mani, and Madan Gopal	Issues of Mining for Heterogeneous Social Networks Shou-de Lin, Hung-Yi Lo, and Cheng-Te Li
	Nonlinear Data Analysis Using A New Hybrid Data Clustering Algorithm Ureerat Wattanachon	Acquiring Semantic Relations using the Web as Background Knowledge Wilson Wong, Wei Liu, and Mohammed Bennamoun	Cool Blog Classification from Positive and Unlabeled Examples Kritsada Sriphaew, Hiroya Takamura, and Manabu Okumura
	Clustering Documents using a Wikipedia-based Concept Representation Anna Huang, David Milne, Eibe Frank, and Ian H. Witten	Grouped ECOC Conditional Random Fields for Prediction of Web User Behavior Yong Zhen Guo, Kotagiri Ramamohanarao, and Laurence A.F. Park	Newistic: a distributed news gathering and analysis platform Horatiu Mocian, and Ovidiu Dan
	An Instantiation of Hierarchical Distance-based Conceptual Clustering for Propositional Learning Maria Jose Ramirez-Quintana, Ana Funes, Jose Hernandez-Orallo, and Cesar Ferri	CLHQS: Hierarchical Query Suggestion by Mining Clickthrough Log Depin Chen, Jun Yan, Zhijun Yin, and Yan Xiong	Building a Text Classifier by a Keyword and Unlabeled Documents Qiu Qiang, Yang Zhang, and Junping Zhu
10:00 - 10:20	Coffee Break
10:20 - 12:00	Session 5A Outlier Detection	Session 5B Statistical Methods	Session 5C Recommendation and Rating Systems	Tutorial C (cont.)
	Detecting abnormal events via Hierarchical Dirichlet Processes Xian-Xing Zhang, Hua Liu, Yang Gao, and Derek Hao Hu	Active Learning for Causal Bayesian Network Structure with Non-symmetrical Entropy Guoliang Li, and Tze Yun Leong	Long-Term Relevance Feedback for Content-Based Image Suggestion Sabri Boutemedjet, and Djemel Ziou	Issues of Mining for Heterogeneous Social Networks Shou-de Lin, Hung-Yi Lo, and Cheng-Te Li
	A New Local Distance-based Outlier Detection Approach for Scattered Real-World Data Ke Zhang, Marcus Hutter, and Huidong Jin	A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification Bin Liu, Geoff Webb, Ying Yang, and Janice Boughton	COMUS: Ontological and Rule-based Reasoning for Music Recommendation System Seungmin Rho
	Mining Outliers with Faster Cutoff Update and Space Utilization Chi Cheong Szeto, and Edward Hung	Analysis of Variational Bayesian Matrix Factorization Shinichi Nakajima, and Masashi Sugiyama	Spatial Weighting for Bag-of-Visual-Words Representation and Its Application in Content-Based Image Retrieval Xin Chen, Xiaohua Hu, and Xiajiong Shen
	Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data Hans-Peter Kriegel, Peer Kröger, Erich Schubert, and Arthur Zimek	An Effective Boosting Mehod for Naïve Bayesian Classifiers by Local Accuracy Estimation Zhipeng Xie	Item Preference Parameters from Grouped Ranking Observations Hideitsu Hino, Yu Fujimoto, and Noboru Murata
	k-Dominant Skyline Computation by using Sort-Filtering Method Md. Anisuzzaman Siddique, and Yasuhiko Morimoto		Cross-Channel Query Recommendation on Commercial Mobile Search Engine: Why, How and Empirical Evaluation Shunkai Fu, Bingfeng Pi, Ying Zhou, Micheal Desmarais, Weilei Wang, Song Han, and Xunrong Rao
12:00 - 13:00	Lunch
13:00 - 14:00	Invited Speech: Finding Hidden Structures in Relational Databases Yu Xu, Jeffrey, BE, ME, PhD
14:00 - 15:40	Session 6A Outlier Detection and Spatial Data Mining	Session 6B Ensemble Methods	Session 6C Link Analysis	Tutorial D
	Detecting Link Hijacking by Web Spammers YOUNGJOO CHUNG, Masashi Toyoda, and Masaru Kitsuregawa	A Data Driven Ensemble Classifier for Credit Scoring Analysis Nan-Chen Hsieh, Lun-Ping Hung, and Chia-Ling Ho	Exploiting the Block Structure of Link Graph for Efficient Similarity Computation Pei Li, Yuanzhe Cai, Hongyan Liu, Jun He, and Xiaoyong Du	Outlier Detection Techniques Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
	Data Mining for Intrusion Detection: from Outliers to True Intrusions Florent MASSEGLIA, Goverdhan Singh, Celine Fiot, Alice Marascu, and Pascal Poncelet	A Multi-Partition Multi-Chunk Ensemble Technique to Classify Concept-Drifting Data Streams Mohammad Mehedy Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham	Growth Analysis of Neighbor Network for Evaluation of Damage Progress Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura, and Masayuki Numao
	A Multi-Resolution Approach for Atypical Behaviour Mining Florent MASSEGLIA, and Alice Marascu	Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data PeiPei Li, Qianhui Liang, Xindong Wu, and Xuejang Hu	Link Structure Ranking Algorithm for Trading Networks Andri Mirzal
	Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions Chun Sheng Chen, Vadeerat Rinsurongkawong, Christoph Eick, and Michael Twa	Diversity in Combinations of Heterogeneous Classifiers Kuo-Wei Hsu, and Jaideep Srivastava	A Parallel Algorithm for Finding Related Pages in the Web by using Segmented Link Structures Shen Xiaoyan, Chen Junliang, Meng Xiangwu, Zhang Yujie, and Liu Chuanchag
	Centroid Neural Network with Spatial Constraints Dong-Chul Park		Boosting Biomedical Information Retrieval Performance through Citation Graph: An Empirical Study Xiaoshi Yin, Xiangji Huang, Qinmin Hu, and Zhoujun Li
15:40 - 16:00	Coffee Break
16:00 - 18:00	Session 7A Feature Selection and Construction	Session 7B Stream and Time-series Data Mining	Session 7C Support Vector Machines	Tutorial D (cont.)
	Online Feature Selection Algorithm with Bayesian l1 Regularization Yunpeng Cai, Yijun Sun, and Steve Goodison	Speeding up Similarity Search on Large Time Series Dataset Under Time Warping Distance Pongsakorn Ruengronghirunya, Vit Niennattrakul, and Chotirat Ann Ratanamahatana	Ranking Vector Machine: An Efficient Method for Learning Ranking SVM Hwanjo Yu, Youngdae Kim, and Seungwon Hwang	Outlier Detection Techniques Hans-Peter Kriegel, Peer Kröger, Arthur Zimek
	On Joint Feature Selection and Local Learning Based Clustering Yiu-ming Cheung, and Hong Zeng	A Novel Fractal Representation for Dimensionality Reduction of Large Time Series Data Poat Sajjipanon, and Chotirat Ann Ratanamahatana	A kernel framework for protein residue annotation Huzefa Rangwala, Christopher Kauffman, and George Karypis
	Similarity-based Feature Selection for Learning From Examples with Continuous Values Yun Li, Sun-Jun Hu, Wen-Jie Yang, Guo-Zi Sun, Fang-Wu Yao, and Geng Yang	Clustering Data Streams in Optimization and Geography Domains Wen-Chih Peng	On Pairwise Kernels: An Efficient Alternative and Generalization Analysis Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, and Koji Tsuda
	Application-independent feature construction from noisy samples Dominique Gay, Nazha Selmaoui, and Jean-FranÃÅòois Boulicaut	CBDT: A Concept Based Approach to Data Stream Mining Stefan Hoeglinger, Russel Pears, and Yun Sing Koh	A Family-based Evolutional Approach for Kernel Tree Selectionin SVMs Ithipan Methasate, and Thanaruk Theeramunkong
	Estimating Optimal Feature Subsets Using Mutual Information Feature Selector and Rough Sets Sombut Foitong, Pornthep Rojanavasu, Boonwat Attachoo, and Ouen Pinngern	Meaningful Subsequence Matching under Distance for Data Stream Vit Niennattrakul, and Chotirat Ann Ratanamahatana	An Online Incremental Learning Vector Quantization Ye Xu, Furao Shen, Osamu Hasegawa, and Jinxi Zhao
		An Aggregate Ensemble for Mining Data Streams with both Concept Drifting and Noise Peng Zhang, Xingquan Zhu, Yong Shi, and Xindong Wu
18:30 - 20:30	Banquet

April 30, 2009
	Room A	Room B	Room C	Room D
9:00 - 10:00	Keynote Speech: The future of search: an online content perspective Andrew Tomkins, PhD (Yahoo! Research)			Competition
10:00 - 10:20	Coffee Break
10:20 - 12:00	Session 8A Classification and Link Analysis	Session 8B Web Mining 2	Session 8C Text Mining 3
	Dynamic Exponential Family Matrix Factorization Kohei Hayashi, Jun-ichiro Hirayama, and Shin Ishii	X-tracking the Changes of Web Navigation Patterns Long Wang, and Christoph Meinel	Thai Word Segmentation with Hidden Markov Model and Decision Tree Poramin Bheganan, Richi Nayak, and Yue Xu
	A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization Nizar Bouguila, and Djemel Ziou	Website Classification using Extended Hidden Markov Models Majid Yazdani, Milad Eftekhar, and Hassan Abolhassani	An efficient method for generating, storing and matching features for text mining Chan Shing Kit, and Wai Lam
	On Mining Rating Dependencies in Online Collaborative Rating Networks Hady W. Lauw, Ee-Peng Lim, and Ke Wang	Emotion Recognition of Pop Music Based on Maximum Entropy with Priors Hui He, Bo Chen, and Jun Guo	A Discriminative Approach to Topic-based Citation Suggestion Jie Tang, and Jing Zhang
	Learning to Extract Relations for Relational Classification Steffen Rendle, Christine Preisach, and Lars Schmidt-Thieme	Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method Tieyun Qian, Jaideep Srivastava, Zhiyong Peng, and Phillip Sheu	Romanization of Thai Proper Names Based On Popularity Of Usages Akegapon Tangverapong
		Towards a Novel Association Measure via Web Search Results Mining Xiaojun Wan
12:00 - 13:00	Lunch
13:00 - 16:00	Excursion

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13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 27-30 April 2009, Bangkok, Thailand

PAKDD 2009