Long, regular and short paper presentations are denoted by [pink], [violet] and [green] respectively. Each long paper presentation is allocated with 30 minutes, with 25 minutes for presentation and 5 minutes for questions; each regular paper presentation is allocated with 20 minutes, with 17 minutes for presentation and 3 minutes for questions; and each short paper presentation is allocated with 15 minutes, with 12 minutes for presentation and 3 minutes for questions.
May 21
8:30 -   9:00	Opening
9:00 - 10:00	Keynote Speech
	Chair: Einoshin Suzuki
	Christos Faloutsos; Graph Mining: Laws, Generators and Tools
	(Room A,B,C)
10:00 - 10:20	Coffee Break
10:20 - 11:50	Session 1A: Privacy Preserving Data Mining	Session 1B: Web Mining	Session 1C: Clustering 1	Session 1D: Network Mining
	(Room A)	(Room B)	(Room C)	(Room D)
	Chair: Mei Kobayashi	Chair: Vincent S. Tseng	Chair: Saso Dzeroski	Chair: Yifeng Zeng
	Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining	SEM: Mining Spatial Events from the Web	A Clustering-Oriented Star Coordinate Translation Method for Reliable Clustering Parameterization	Mining Bulletin Board Systems Using Community Generation
	Wai Kit Wong, David Wai Lok Cheung, Edward Hung, and Huan Liu	Kaifeng Xu, Rui Li, Shenghua Bao, Dingyi Han, and Yong Yu	Chieh-Yuan Tsai and Chuang-Cheng Chiu	Ming Li, Zhongfei (Mark) Zhang, and Zhi-Hua Zhou
	On Addressing Accuracy Concerns in Privacy Preserving Association Rule Mining	Person Name Disambiguation in Web Pages using Social Network; Compound Words and Latent Topics	Constrained Clustering for Gene Expression Data Mining	Mining Changes in Patent Trends for Competitive Intelligence
	Ling Guo, Songtao Guo, and Xintao Wu	Shingo Ono, Issei Sato, Minoru Yoshida, and Hiroshi Nakagawa	Vincent S. Tseng, Lien-Chin Chen, and Ching-Pin Kao	Meng-Jung Shih, Duen-Ren Liu, and Ming-Li Hsu
	On Privacy in Time Series Data Mining	Fighting WebSpam: Detecting spam on the Graph via Content and Link Features	G-TREACLE: A New Grid-based and Tree-alike Pattern Clustering Technique for Large Databases	Structure-based hierarchical transformations for interactive visual exploration of social networks
	Ye Zhu, Yongjian Fu, and Huirong Fu	Yu-Jiu Yang, Shuang-Hong Yang, and Bao-Gang Hu	Cheng-Fa Tsai and Chia-Chen Yen	Lisa Singh, Mitchell Beard, Brian Gopalan, and Gregory Nelson
		Using Ontology-Based User Preferences to Aggregate Rank Lists in Web Search	R-map: Mapping Categorical Data for Clustering and Visualization based On Reference Sets	Analyzing the Propagation of Influence and Concept Evolution in Enterprise Social Networks Through Centrality and Latent Semantic Analysis
		Lin Li, Zhenglu Yang, and Masaru Kitsuregawa	Zhi-Yong Shen, Ming Li, Yi-Dong Shen, and Jun Sun	Weizhong Zhu, Chaomei Chen, and Robert B. Allen
			Efficient Joint Clustering Algorithms in Optimization and Geography Domains	A Framework for Discovering Spatio-Temporal Cohesive Networks
			Chia-Hao Lo and Wen-Chih Peng	Jin Soung Yoo and Joengmin Hwang
11:50 - 13:20	Lunch
13:20 - 14:20	Invited Talk
	Chair: David Cheung
	Hiroki Arimura; Efficient Algorithms for Mining Frequent and Closed Patterns from Semi-structured Data
	(Room A,B,C)
14:20 - 14:40	Coffee Break
14:40 - 16:10	Session 2A: Feature Selection and Construction	Session 2B: Clustering 2	Session 2C: Frequent Itemset 1	Session 2D: Sequence Data Mining 1
	(Room A)	(Room B)	(Room C)	(Room D)
	Chair: Michel Verleysen	Chair: Xintao Wu	Chair: Chi Ming Kao	Chair: Takeaki Uno
	Feature Selection by Nonparametric Bayes Error Minimization	Large-scale k-means Clustering with User-Centric Privacy Preservation	LCM over ZBDDs: Fast Generation of Very Large-Scale Frequent Itemsets Using a Compact Graph-Based Representation	A Framework for Modeling Positive Class Expansion with Single Snapshot
	Shuang-Hong Yang and Bao-Gang Hu	Jun Sakuma and Shigenobu Kobayashi	Shin-ichi Minato, Takeaki Uno, and Hiroki Arimura	Yang Yu and Zhi-Hua Zhou
	Feature construction based on closedness properties is not that simple	Scaling Record Linkage to Non-Uniform Distributed Class Sizes	Efficient Mining of High Utility Itemsets from Large Datasets	Concept Lattice Based Mutation Control for Reactive Motifs Discovery
	Dominique Gay, Nazha Selmaoui, and Jean-Francois Boulicaut	Steffen Rendle and Lars Schmidt-Thieme	Alva Erwin, Raj P. Gopalan, and Narasimaha Achuthan	Kitsana Waiyamai, Peera Liewlom, Thanapat Kangkachit, and Thanawin Rakthanmanon
	Generation of Globally Relevant Continuous Features for Classification	Clustering Transaction Datasets Using Seeds	FIsViz: A Frequent Itemset Visualizer	A Simple Characterization on Serially Constructible Episodes
	Sylvain Letourneau, Stan Matwin, and A. Fazel Famili	Yun Sing Koh and Russel Pears	Carson Kai-Sang Leung, Pourang P. Irani, and Christopher L. Carmichael	Takashi Katoh and Kouichi Hirata
		I/O Scalable Bregman Co-clustering	A Tree-Based Approach for Frequent Pattern Mining from Uncertain Data	Semantic Video Annotation by Mining Association Patterns from Visual and Speech Features
		Kuo-Wei Hsu, Arindam Banerjee, and Jaideep Srivastava	Carson Kai-Sang Leung, Mark Anthony F. Mateo, and Dale A. Brajczuk	Vincent S. Tseng, Ja-Hwung Su, Jhih-Hong Huang, and Chih-Jen Chen
16:10 - 16:30	Coffee Break
16:30 - 18:00	Session 3A: Frequent Itemset 2	Session 3B: Subspace Clustering	Session 3C: Decision Tree and	Session 3D: Relational and Network Mining
	(Room A)	(Room B)	(Room C)    Class Imbalance Problem	(Room D)
	Chair: Carson K. Leung	Chair: Peer Kröger	Chair: Zhi-Hua Zhou	Chair: Akihiro Yamamoto
	Ambiguous Frequent Itemset Mining and Polynomial Delay Enumeration	Mining Quality-Aware Subspace Clusters	BOAI: Fast Alternating Decision Tree Induction based on Bottom-up Evaluation	Tracking Topic Evolution in On-line Postings: 2006 IBM Innovation Jam data
	Takeaki Uno and Hiroki Arimura	Ying-Ju Chen, Yi-Hong Chu, and Ming-Syan Chen	Bishan Yang, Tengjiao Wang, Dongqing Yang, and Lei Chang	Mei Kobayashi and Raylene Yung
	A Decremental Approach for Mining Frequent Itemsets from Uncertain Data	SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters	A comparison of different off-centered entropies to deal with class imbalance for decision trees	Entity Network Prediction using Multitype Topic Models
	Chun-Kit Chui and Ben Kao	Ira Assent, Ralph Krieger, Petra Welter, Jorg Herbers, and Thomas Seidl	Philippe Lenca, Stephane Lallich, Thanh-Nghi Do, and Nguyen-Khang Pham	Hitohiro Shiozaki, Koji Eguchi, and Takenao Ohkawa
	A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports	A Creditable Subspace Labeling Method based on D-S Evidence Theory	Analyzing PETs on Imbalanced Datasets when Training and Testing Class Distributions Differ	Relational pattern mining based on equivalent classes of properties extracted from samples
	Chun-Hao Chen, Tzung-Pei Hong, and Vincent S. Tseng	Yu Zong, Xianchao Zhang, He Jiang, and Mingchu Li	David Cieslak and Nitesh Chawla	Nobuhiro Inuzuka, Jun-ichi Motoyama, Shinpei Urazawa, and Tomofumi Nakano
	CP-tree: A Tree Structure for Single-Pass Frequent Pattern Mining		A New Credit Scoring Method Based on Rough Sets and Decision Tree	Exploiting Propositionalization based on Random Relational Rules for Semi-Supervised Learning
	Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed, Byeong-Soo Jeong, and Young-Koo Lee		XiYue Zhou, DeFu Zhang, and Yi Jiang	Grant Anderson and Bernhard Pfahringer
May 22
9:00 - 10:00	Invited Talk
	Chair: Graham Williams
	Michael R. Berthold; Supporting Creativity: Towards Associative Discovery of New Insights
	(Room A,B,C)
10:00 - 10:20	Coffee Break
10:20 - 11:55	Session 4A: Outlier Detection	Session 4B: SVM and Regression	Session 4C: Rule Discovery	Session 4D: Feature and Instance Selection
	(Room A)	(Room B)	(Room C)	(Room D)
	Chair: Arthur Zimek	Chair: Masashi Sugiyama	Chair: Bernhard Pfahringer	Chair: Md Rafiul Hassan
	Unusual Pattern Detection in High Dimensions	Extreme Support Vector Machine	Minimum Variance Associations --- Discovering Relationships in Numerical Data	Automatic Training Example Selection for Unsupervised Record Linkage
	Minh Nguyen, Leo Mark, and Edward Omiecinski	Qiuge Liu, Qing He, and Zhongzhi Shi	Szymon Jaroszewicz	Peter Christen
	Unsupervised Change Analysis using Supervised Learning	A Minimal Description Length Scheme for Polynomial Regression	Mining a Complete Set of both Positive and Negative Association Rules from Large Databases	Sparse Kernel-based Feature Weighting
	Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Harunobu Kubo, and Hirofumi Matsuzawa	Aleksandar Pekov, Saso Dzeroski, and Ljuptuo Todorovski	Hao Wang, Xing Zhang, and Guoqing Chen	Shuang-Hong Yang, Yu-Jiu Yang Yang, and Bao-Gang Hu
	Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs	Bootstrap based Pattern Selection for Support Vector Regression	Combined Association Rule Mining	A More Topologically Stable Locally Linear Embedding Algorithm Based on R*-Tree
	Nicolas Delannay, Cedric Archambeau, and Michel Verleysen	Dongil Kim and Sungzoon Cho	Huaifeng Zhang, Yanchang Zhao, Longbing Cao, and Chengqi Zhang	Tian Xia, Jintao Li, Yongdong Zhang, and Sheng Tang
	Cell-based Outlier Detection Algorithm: A Fast Outlier Detection Algorithm for Large Datasets	Customer Churn Time Prediction in Mobile Telecommunication Industry using Ordinal Regression	Mining Non-Coincidental Rules Without A User Defined Support Threshold	Locally Linear Online Mapping for Mining Low-Dimensional Data Manifolds
	You Wan and Fuling Bian	Rupesh Gopal and Saroj Meher	Yun Sing Koh	Huicheng Zheng, Wei Shen, Qionghai Dai, and Sanqing Hu
			Rule Extraction with Rough-Fuzzy Hybridization Method	A Selective Classifier for Incomplete Data
			Nan-Chen Hsieh	Jingnian Chen, Houkuan Huang, Fengzhan Tian, and Shengfeng Tian
11:55 - 13:00	Lunch
13:00 - 18:00	Excursion
18:30 - 22:00	Banquet
May 23
9:00 - 10:00	Invited Talk
	Chair: Huan Liu
	Genshiro Kitagawa; Prospective Scientific Methodology in Knowledge Society
	(Room A,B,C)
10:00 - 10:20	Coffee Break
10:20 - 11:50	Session 5A: Spatial and Image Data Mining	Session 5B: Sequence Data Mining 2	Session 5C: Semi-Supervised Learning	Session 5D: Application 1
	(Room A)	(Room B)	(Room C)	(Room D)
	Chair: Jin Soung Yoo	Chair: Shin-ichi Minato	Chair: Nitesh V. Chawla	Chair: Masayuki Numao
	Towards Region Discovery in Spatial Datasets	An Efficient Algorithm for Finding Similar Short Substrings from Large Scale String Data	Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction	Data-Aware Clustering Hierarchy for Wireless Sensor Networks
	Wei Ding, Rachsuda Jiamthapthaksin, Rachana Parmar, Dan Jiang, Tomasz Stepinski, and Christoph Eick	Takeaki Uno	Masashi Sugiyama, Tsuyoshi Ide, Shinichi Nakajima, and Jun Sese	Xiaochen Wu, Peng Wang, Wei Wang, and Baile Shi
	ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented Initialization	Accurate and Efficient Retrieval of Multimedia Time Series Data under Uniform Scaling and Time Warping	Using Supervised and Unsupervised Techniques to Determine Groups of Patients with Different Continuity of Care	Learning User Purchase Intent From User-Centric Data
	Tianming Hu, Hui Xiong, Xueqing Gong, and Sam Yuan Sung	Waiyawuth Euachongprasit and Chotirat Ann Ratanamahatana	Eu-Gene Siew, Leonid Churilov, Kate A. Smith-Miles, and Joachim P. Sturmberg	Rajan Lukose, Jiye Li, Jing Zhou, and Satyanarayana Raju Penmetsa
	A New Model for Image Annotation	Characteristic-based Descriptors for Motion Sequence Recognition	Forward Semi-Supervised Feature Selection	Exploratory Hot Spot Profile Analysis using an Interactive Visual Drill-Down Self-Organizing Maps
	Sanparith Marukatat	Liang Wang, Xiaozhe Wang, Christopher Leckie, and Ramamohanarao Kotagiri	Jiangtao Ren, Zhengyuan Qiu, Wei Fan, Hong Cheng, and Philip S. Yu	Denny, Graham Williams and Peter Christen
	Jumping Emerging Patterns with Occurrence Count in Image Classification		Active Learning with Misclassification Sampling Using Diverse Ensembles Enhanced by Unlabeled Instances	Discovering New Orders of the Chemical Elements through Genetic Algorithms
	Lukasz Kobylinski and Krzysztof Walczak		Jun Long, Jianping Yin, En Zhu, and Wentao Zhao	Alexandre Blansche and Shuichi Iwata
				Combining Context and Existing Knowledge When Recognizing Biological Entities -- Early results
				Mika Timonen and Antti Pesonen
11:50 - 13:20	Lunch
13:20 - 14:20	Invited Talk
	Chair: Kai Ming Ting
	Robert C. Holte; Cost-sensitive Classifier Evaluation using Cost Curves
	(Room A,B,C)
14:20 - 14:40	Coffee Break
14:40 - 16:10	Session 6A: Classification 1	Session 6B: Graph and Network Mining	Session 6C: Statistical Methods	Session 6D: Text Mining 1
	(Room A)	(Room B)	(Room C)	(Room D)
	Chair: Ulf Johansson	Chair: Michael Berthold	Chair: Szymon Jaroszewicz	Chair: Manabu Okumura
	Multi-Class Named Entity Recognition via Bootstrapping with Dependency Tree-based Patterns	A Mixture Model for Expert Finding	A Decomposition Algorithm for Learning Bayesian Network Structures from Data	Applying Latent Semantic Indexing in Frequent Itemset Mining for Document Relation Discovery
	Van Dang and Akiko Aizawa	Jing Zhang, Jie Tang, Liu Liu, and Juanzi Li	Yifeng Zeng and Jorge Cordero Hernandez	Thanaruk Theeramunkong, Kritsada Sriphaew, and Manabu Okumura
	An efficient unordered tree kernel and its application to glycan classification	Mining Correlated Subgraphs in Graph Databases	Tradeoff Analysis of Different Markov Blanket Local Learning Approaches	Enriching WordNet with Folksonomies
	Tetsuji Kuboyama, Kouichi Hirata, and Kiyoko F. Aoki-Kinoshita	Tomonobu Ozaki and Takenao Ohkawa	Shunkai Fu and Michel C. Desmarais	Hao Zheng, Xian Wu, and Yong Yu
	Learning Rules for Multiple Target Classification	Efficient Mining of Minimal Distinguishing Subgraph Patterns from Graph Databases	Query expansion for the language modelling framework using the naive Bayes assumption	Automatic Extraction of Basis Expressions that Indicate Economic Trends
	Bernard Zenko and Saso Dzeroski	Zhiping Zeng, Jianyong Wang, and Lizhu Zhou	Laurence Park and Kotagiri Ramamohanarao	Hiroki Sakaji, Hiroyuki Sakai, and Shigeru Masuyama
		What is Frequent in a Single Graph	On Discrete Data Modeling	Seeing several stars: a rating inference task for a document containing several evaluation criteria
		Bjoern Bringmann and Siegfried Nijssen	Nizar Bouguila and Walid Elguebaly	Kazutaka Shimada and Tsutomu Endo
16:10 - 16:30	Coffee Break
16:30 - 18:00	Session 7A: Classification 2	Session 7B: Stream Mining	Session 7C: Application 2	Session 7D: Text Mining 2
	(Room A)	(Room B)	(Room C)	(Room D)
	Chair: Robert C. Holte	Chair: Hiroki Arimura	Chair: Takashi Okada	Chair: Dirk E. Van den Poel
	Privacy-Preserving Linear Fisher Discriminant Analysis	Handling Numeric Attributes in Hoeffding Trees	Designing a system for a process parameter determined through modified PSO and fuzzy neural network	Term Committee Based Event Identification Within News Topics
	Shuguo Han and Wee Keong Ng	Bernhard Pfahringer, Geoff Holmes, and Richard Kirkby	Jui-Tsung Wong, Kuei-Hsien Chen, and Chwen-Tzeng Su	Kuo Zhang, JuanZi Li, Gang Wu, and KeHong Wang
	Evaluating Standard Techniques for Implicit Diversity	Maintaining Optimal Multi-way Splits for Numerical Attributes in Data Streams	Forecasting Urban Air Pollution Using HMM-fuzzy Model	A New Framework for Taxonomy Discovery from Text
	Ulf Johansson, Tuve Lofstrom, and Lars Niklasson	Tapio Elomaa and Petri Lehtinen	M. Maruf Hossain, Md. Rafiul Hassan, and Michael Kirley	Ahmad El Sayed, Hakim Hacid, and Djamel Zighed
	Local Projection in Jumping Emerging Patterns Discovery in Transaction Databases	Connectivity Based Stream Clustering Using Localised Density Exemplars	PAID: Packet Analysis for Anomaly Intrusion Detection	Detecting Near-Duplicates in Large-Scale Short Text Databases
	Pawel Terlecki and Krzysztof Walczak	Sebastian Luhr and Mihai Lazarescu	Kuo-Chen Lee, Jason Chang, and Ming-Syan Chen	Caichun Gong, Yulan Huang, Xueqi Cheng, and Shuo Bai
	Fast k Most Similar Neighbor Classifier for Mixed Data based on an Approximation and Elimination algorithm	Fast on-line estimation of the joint probability distribution	Unmixed Spectrum Clustering for Template Composition in Lung Sound Classification	Text Categorization of Multilingual Web Pages on Specific Domain
	Selene Hernandez Rodriguez, J. Ariel Carrasco-Ochoa, and J. Fco. Martinez-Trinidad	Jan Peter Patist	Tomonari Masada, Senya Kiyasu, and Sueharu Miyahara	Jicheng Liu and Chunyan Liang
			The Application of Echo State Network in Stock Data Mining
			Xiaowei Lin, Zehong Yang, and Yixu Song