============================================================ CALL FOR PARTICIPATION PAKDD2012: The 16th PAcific-Asia Conference on Knowledge Discovery and Data Mining Kuala Lumpur, Malaysia May 29 - June 1, 2012 ============================================================= [Early bird registration due by April 15, 2012] On-line registration and conference program schedule is now available at pakdd2012.pakdd.org HIGHLIGHTS ---------- * 3 keynote talks * 3 full day and 1 half day workshops * 1 doctoral symposium * 3 tutorials * Research and industrial demo sessions * 86 accepted papers (20 full and 66 short presentation) ===================== KEYNOTE SPEAKERS ===================== * Joules of Available Energy as the Global Currency: Role of Knowledge Discovery and Data Mining Chandrakant Patel, Hewlett-Packard Laboratories * Learning to Make Predictions in Networks Charles Elkan, University of California San Diego * Semantic Document Representation: Do It with Wikification Ian Witten, University of Waikato ================================ Tutorials ================================ * Data Stream Mining and Its Applications Latifur Khan, University of Texas at Dallas Wei Fan, IBM T.J. Watson Research * Discovering Multiple Clustering Solutions - Grouping Objects in Different Views of the Data Emmanuel Muller, Karlsruhe Institute of Technology Stephan Gunnemann, RWTH Aachen University Ines Farber, RWTH Aachen University Thomas Seidl, RWTH Aarchen University * Privacy-Preserving Record Linkage Peter Christen, The Australian National University Vassilios S. Verykios, Hellenic Open University =================================== Workshops =================================== * Data Mining for Healthcare Management (Full Day) * Pacific Asia Workshop on Intelligence and Security Informatics (Full Day) * Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (Full Day) * Geospatial Information and Documents (GeoDoc'2012) (Half Day) * Doctoral Symposium on Data Mining =================================== Accepted Papers =================================== Full Presentation ----------------- 1. Neighborhood-based Smoothing of External Cluster Validity Measures Ken-ichi Fukui (Osaka University) Masayuki Numao (Osaka University, Japan) 2. Active Learning for Hierarchical Text Classification Xiao Li (University of Western Ontario) Da Kuang (University of Western Ontario) Charles Ling (University of Western Ontario) 3. Unsupervised Ensemble Learning for Mining Top-n Outliers Jun Gao (NLPR of CAS) Weiming Hu (NLPR of CAS) Zhongfei Zhang (Binghamton University, USA) ou Wu (NLPR of CAS) 4. Domain Transfer Dimensionality Reduction via Discriminant Kernel Learning Ming Zeng (Sun Yat-sen University) Jiangtao Ren (Sun Yat-sen University) 5. Two-View Online Learning Tam Nguyen (Nanyang Technological University) Kuiyu Chang (Nanyang Technological University) Siu Cheung Hui (Nanyang Technological University) 6. Selecting Feature Subset via Constraint Association Rules Guangtao Wang (Xi'an Jiao Tong University) Qinbao Song (Xi’an Jiaotong University) 7. Quantifying Reciprocity in Large Weighted Communication Networks Leman Akoglu (Carnegie Mellon University) Pedro O. S. Vaz de Melo (Universidade Federal de Minas Gerais) Christos Faloutsos (Carnegie Mellon University, USA) 8. Towards Identity Disclosure Control in Private Hypergraph Publishing Yidong Li (Beijing Jiaotong University) Hong Shen (University of Adelaide) 9. Hierarchical Graph Summarization: Leveraging Hybrid Information through Visible and Invisible Linkage Rui Yan (Peking University) Zi Yuan (Beihang University) Xiaojun Wan (Peking University) Yan Zhang (Peking University) Xiaoming Li (Peking University) 10. Mining Mobile Users' Activities based on Search Query Text and Context Bingyue Peng (Beihang University) Yujing Wang (Peking University) Jian-tao Sun (Microsoft Research Asia) 11. Active Learning for Cross Language Text Categorization Yue Liu (BIT) Lin Dai (BIT) weitao Zhou (BIT) Heyan Huang (BIT) 12. Named entity recognition and identification for finding the owner of a home page Vassilis Plachouras (LIX, Ecole Polytechnique) Matthieu Riviere (Ecole Polytechnique) Michalis Vazirgiannis (LIX, Ecole Polytechnique) 13. Accelerating Outlier Detection with Uncertain Data using Graphics Processors Takazumi Matsumoto (The HK Polytechnic University) Edward Hung (The HK Polytechnic University) 14. Finding Collections of k-Clique Percolated Components in Attributed Graphs Pierre-Nicolas Mougel (Liris / INSA) Christophe Rigotti (Liris / INSA) Olivier Gandrillon (CGMC) 15. Detecting Multiple Stochastic Network Motifs in Network Data Kai Liu (Hong Kong Baptist University) William Cheung (Hong Kong Baptist University) Jiming Liu (Hong Kong Baptist University) 16. Generating Balanced Classifier-Independent Training Samples from Unlabeled Data Youngja Park (IBM T. J. Watson Research Center) Zijie Qi (University of California, Davis) Suresh Chari (IBM T. J. Watson Research Center) Ian Molloy (IBM T. J. Watson Research Center) 17. Extreme Value Prediction for Zero-Inflated Data Zubin Abraham (Michigan State University) Fan Xin (Michigan State University) 18. CD: A Coupled Discretization Algorithm Can Wang (University of Technology, Sydney) Mingchun Wang (Tianjin University of Technology and Education) Zhong She (University of Technology, Sydney) Longbing Cao (University of Technology, Sydney) 19. SHARD: A Framework for Sequential, Hierarchical Anomaly Ranking and Detection Jason Robinson (Georgetown University) Margaret Lonergan (Georgetown University) Lisa Singh (Georgetown University) Allison Candido (Georgetown University) Mehmet Sayal (Hewlett Packard) 20. Co-Embedding of Structurally Missing Data by Locally Linear Alignment Takehisa Yairi (University of Tokyo) Short Presentation ------------------ 21. Time-Evolving Relational Classification and Ensemble Methods Ryan Rossi (Purdue University) Jennifer Neville (Purdue University) 22. Peer Matrix Alignment: A New Algorithm Mohammed Kayed (Beni-Suef University) 23. Heterogeneous Ensemble for Feature Drifts in Data Streams Long Nguyen (Nanyang Technological University) Yew-Kwong Woon (EADS Innovation Works Singapore) Wee Keong Ng (Nanyang Technological University, Singapore) Li Wan (New York University) 24. Sequential Entity Group Topic Model for Getting Topic Flows of Entity Groups Within One Document Young-Seob Jeong (KAIST) Ho-Jin Choi (KAIST) 25. Topological comparisons of proximity measures Djamel Zighed (ISH CNRS) Rafik Abdeslam (University Lyon) Asmelash Hadgu (DMKM Master) 26. Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification Wenjuan Luo (Institute of Computing Technology, Chinese Academy of Sciences) fuzhen Zhuang (Institute of Computing Technology, Chinese Academy of Sciences) Qing He (Institute of Computing Technology, Chinese Academy of Sciences) zhongzhi Shi (Institute of Computing Technology, Chinese Academy of Sciences) 27. OMC-IDS: At the Cross-Roads of OLAP Mining and Intrusion Detection Hanen Brahmi (Faculty of Sciences of Tunisia) Imen Brahmi (Faculty of Sciences of Tunisia) Sadok Ben Yahia (Faculty of Sciences of Tunisia) 28. TeamSkill Evolved: Mixed Classification Schemes for Team-Based Multi-Player Games Colin DeLong (University of Minnesota) Jaideep Srivastava (University of Minnesota) 29. Towards Linear Time Overlapping Community Detection in Social Networks Jierui Xie (Rensselaer Polytechnic Institute) Boleslaw Szymanski (Rensselaer Polytechnic Institute) 30. A Novel Weighted Ensemble Technique for Time Series Forecasting Ratnadip Adhikari (Jawaharlal Nehru University) Ramesh Agrawal (Jawaharlal Nehru University) 31. WeightTransmitter: Weighted Association Rule Mining Using Landmark Weights Yun Sing Koh (University of Auckland) Russel Pears (AUT University) Gillian Dobbie (University of Auckland) 32. Clustering-based $k$-Anonymity Xianmang He (Ningbo University) Huahui Chen (NingBo University) Yefang Chen (NingBo University) Yihong Dong (NingBo University) Peng Wang (Fudan University) Zhenhua Huang (Tongji University) 33. Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models Kuifei Yu (Nokia) Baoxian Zhang (GUCAS) hengshu Zhu (USTC) Cao Happia (Nokia) Jilei Tian (Nokia) 34. Co-occurring Cluster Mining for Damage Patterns Analysis of a Fuel Cell Daiki Inaba (Osaka University) Ken-ichi Fukui (Osaka University) Kazuhisa Sato (Tohoku University) Junichirou Mizusaki (Tohoku University) Masayuki Numao (Osaka University, Japan) 35. Techniques for Efficient Learning without Search Geoffrey Webb (Monash University) Houssam Salem (Monash University) Pramudi Suraweera (Monash University) Janice Boughton (Monash University) 36. Prioritizing Disease Genes by Bi-Random Walk Maoqiang Xie (Nankai University) Taehyun Hwang (University of Minnesota) Rui Kuang (University of Minnesota) 37. An aggressive margin-based algorithm for incremental learning JuiHsi Fu (National ChungCheng University) SingLing Lee (National ChungCheng University) 38. A Generic Classifier-Ensemble Approach for Biomedical Named Entity Recognitionamed Entity Recognition Zhihua Liao (Hunan Normal University) Zili Zhang (Deakin University) 39. Neighborhood Random Classification Fabien Rico (Université de Lyon) Djamel Zighed (ISH CNRS) Diala Ezzedine (ERIC Laboratory) 40. Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases Hardy Kremer (RWTH Aachen University) Stephan Günnemann (RWTH Aachen University) Arne Held (RWTH Aachen University) Thomas Seidl (RWTH Aachen University, Germany) 41. A vertex similarity probability model for finding network community structure Kan Li (Beijing Institute of Technology) Yin Pang (Beijing Institute of Technology) 42. SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise Katsiaryna Mirylenka (University of Trento, Italy) George Giannakopoulos (Institute of Informatics and Telecommunications of NCSR Demokritos) Themis Palpanas (University of Trento) 43. RadialViz: An Orientation-Free Frequent Pattern Visualizer Carson Leung (University of Manitoba) Fan Jiang (University of Manitoba) 44. Building Decision Trees for the Multi-class Imbalance Problem Thomas Hoens (University of Notre Dame) Qi Qian (Nanjing University) Nitesh Chawla (University of Notre Dame) Zhi-Hua Zhou (Nanjing University) 45. Hybrid-?-greedy for Mobile Context-aware Recommender System Djallel Bouneffouf (Nomalys) Gancarski Alda (Telecom SudParis) Bouzeghoub Amel (Telecom SudParis) 46. New Exact Concise Representation of Rare Correlated Patterns: Application to Intrusion Detection Souad Bouasker (Faculty of Sciences of Tunis) Tarek Hamrouni (Faculty of Sciences of Tunis) Sadok Ben Yahia (Faculty of Sciences of Tunisia) 47. Life Activity Modeling of News Event on Twitter Using Energy Function Rong Lu (Chinese Academy of Science) 48. Unsupervised Multi-Label Text Classification using a World Knowledge Ontology Xiaohui Tao (USQ, Australia) Yuefeng Li (QUT) Raymond Y. K. Lau (City University of Hong Kong) Hua Wang (USQ, Australia) 49. Scalable Random Forests for Massive Data Bingguo Li (Shenzhen Institutes of Advanced Technology) Xiaojun Chen (Shenzhen Institutes of Advanced Technology) Junjie Li (Shenzhen Institutes of Advanced Technology) Zhexue Joshua Huang (Shenzhen Institutes of Advanced Technology) Shengzhong Feng (Shenzhen Institutes of Advanced Technology) 50. Feature weighting by RELIEF based on local hyperplane approximation Hongmin Cai (The Sun Yat-Sen University) Michael Ng (Hong Kong Baptist University) 51. Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data Baoxun Xu (Harbin Institute of Technology Shenzhen Graduate School) Zhexue Joshua Huang (Shenzhen Institutes of Advanced Technology) Graham Williams (Australian Taxation Office) Junjie Li (Shenzhen Institutes of Advanced Technology) Yunming Ye (Harbin Institute of Technology Shenzhen Graduate School) 52. Semantic Social Network Analysis with Text Corpora Yang Dongmei (National Key Laboratory of Bli) Zheng Hui (National Key Laboratory of Bli) Yan Jikun (Southwest Electronics and Telecommunication Technology Research Institute) Jin Ye (Southwest Electronics and Telecommunication Technology Research Institute) 53. EWNI: Efficient Anonymization of Vulnerable Individuals in Social Networks Frank Nagle (Harvard Business School) Lisa Singh (Georgetown University) Aris Gkoulalas-Divan (IBM Research - Zurich) 54. Spread of Information in a Social Network Using Influential Nodes Arpan Chaudhury (Heritage Institute of Technology) Partha Basuchowdhuri (Heritage Institute of Technology) Subhashis Majumder (Heritage Institute of Technology) 55. Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery Yang Xiang (The Ohio State University) David Fuhry (The Ohio State University) Ruoming Jin (Kent State University, USA) Ye Zhao (Kent State University) Kun Huang (The Ohio State University) 56. A pruning-based approach for searching precise and generalized region for synthetic minority over-sampling Kamthorn Puntumapon (Kasetsart University) Kitsana Waiyamai (Kasetsart University, Thailand) 57. Discovering Coverage Patternsfor Banner Advertisement Placement P. Gowtham Srinivas (IIIT Hyderabad) P. Krishna Reddy (IIIT Hyderabad) S. Bhargav (IIIT Hyderabad) R. Uday Kiran (IIIT Hyderabad) D. Satheesh Kumar (IIIT Hyderabad) 58. Feature Enriched Nonparametric Bayesian Co-clustering Pu Wang (StumbleUpon) Carlotta Domeniconi (George Mason University) Huzefa Rangwala (George Mason University) Kathryn Laskey (George Mason University) 59. Learning Tree Structure of Label Dependency for Multi-label Learning Bin Fu (Beijing Jiaotong University) Zhihai Wang (Beijing Jiaotong University) Rong Pan (Aalborg University) Peter Dolog (Aalborg University) GuanDong Xu (Victoria University) 60. Multiple Instance Learning for Group Record Linkage Zhichun Fu (Australian National University) Jun Zhou (Australian National University) Peter Christen (Australian National University) Mac Boot (Australian National University) 61. Shape-based Clustering for Time Series Data Warissara Meesrikamolkul (Chulalongkorn University) Vit Niennattrakul (Chulalongkorn University) Chotirat Ratanamahatana (Chulalongkorn University) 62. Incremental Set Recommendation Based on Class Differences Yasuyuki Shirai (Hokkaido University) Koji Tsuruma (Hokkaido University) Yuko Sakurai (Kyushu University) Satoshi Oyama (Hokkaido University) Shin-ichi Minato (Hokkaido University) 63. Privacy-Preserving EM Algorithm for Clustering on Social Network Bin Yang (University of Tokyo) Issei Sato (University of Tokyo) Hiroshi Nakagawa (University of Tokyo) 64. Discovering Unknown But Interesting Items on Personal Social Network Juang-Lin Duan (Yuan Ze University) Shashi Prasad (Yuan Ze University) Jen-Wei Huang (Yuan Ze University) 65. The Pattern Next Door: Towards Spatio-Sequential Pattern Discovery Maguelonne Teisseire (Maison de la Teledetection) Hugo Alatrista Salas (TETIS - PPME) Sandra Bringay (Lirmm) Frederic Flouvat (PPME, ERIM) Nazha Selmaoui-Folcher (PPME, ERIM) 66. Evasion Attack of Multi-Class Linear Classifiers Han Xiao (Technical University of Munich) Thomas Stibor (Technical University of Munich) Claudia Eckert (Technical University of Munich) 67. Foundation of Mining Class-Imbalanced Data Da Kuang (University of Western Ontario) Charles Ling (University of Western Ontario) Jun Du (University of Western Ontario) 68. Active Learning with c-Certainty Eileen Ni (University of Western Ontario) Charles Ling (University of Western Ontario) 69. Towards More Efficient Multi-label Classification using Dependent and Independent Dual Space Reduction Eakasit Pacharawongsakda (Thammasat University) Thanaruk Theeramunkong (Thammasat University) 70. Clustering and Understanding Documents via Discrimination Information Maximization Asim Karim (Lahore University of Management Sciences) Malik Tahir Hassan (Lahore University of Management Sciences) 71. A Term Association Translation Model for Naive Bayes Text Classification Meng-Sung Wu (Academia Sinica) Hsin-Min Wang (Academia Sinica) 72. Relevant Feature Selection from EEG Signal for Mental Task Classification Akshansh Gupta (Jawaharlal Nehru University) Ramesh Agrawal (Jawaharlal Nehru University) 73. Reciprocal and Heterogeneous Link Prediction in Social Networks Xiongcai Cai (University of New South Wales) Michael Bain (University of New South Wales) Alfred Krzywicki (University of New South Wales) Wayne Wobcke (University of New South Wales) Yang Sok Kim (University of New South Wales) Paul Compton (University of New South Wales) Ashesh Mahidadia (University of New South Wales) 74. A Semi-supervised Incremental Clustering Algorithm for Streaming Data Maria Halkidi (University of Piraeus) Myra Spiliopoulou (Otto-von-Guericke-Universitaet Magdeburg) Aikaterini Pavlou (Athens University of Economics and Business) 75. Scalable Similarity Matching in Streaming Time Series Alice Marascu (University of Trento) Suleiman Khan (Aalto University) Themis Palpanas (University of Trento) 76. Scalable mining of frequent tri-concepts from folksonomies Chiraz Trabelsi (Faculty of Sciences of Tunisia) Sadok Ben Yahia (Faculty of Sciences of Tunisia) 77. Unsupervised Sparse Matrix Co-Clustering for Marketing and Sales Intelligence Anastasios Zouzias (University of Toronto) Michail Vlachos (IBM Research-Zurich) Nick Freris (IBM Research-Zurich) 78. Automatic Identification of Protagonist in Fairy Tales using Verb Hui Ngo Goh (MMU) Lay-Ki Soon (MMU) Haw Cheng (MMU) 79. A Double-Ensemble Approach for Classifying Skewed Data Streams Chongsheng Zhang (INRIA) Paolo Soda (Università Campus Bio-Medico di Roma) 80. Nystrom Approximate Model Selection for LSSVM Lizhong Ding (Tianjin University) Shizhong Liao (Tianjin University) 81. Exploiting Label Dependency for Hierarchical Multi-label Classification Noor Alaydie (Wayne State University) Chandan Reddy (Wayne State University) Farshad Fotouhi (Wayne State University) 82. Expectation-Maximization Collaborative Filtering with Explicit and Implicit Feedback Bin Wang (University of Calgary) Seyyed Mohammadreza Rahimi (University of Calgary) Dequan Zhou (University of Calgary) Xin Wang (University of Calgary) 83. Diversity analysis on Boosting Nominal Concepts Nida Meddouri (URPAH) Héla Khoufi (URPAH) Mondher Maddouri (URPAH) 84. Learning to Diversify Expert Finding with Subtopics Hang Su (Beihang University) Jie Tang (Tsinghua University) Wanling Hong (Beihang University) 85. Instant Social Graph Search Sen Wu (Tsinghua University) Jie Tang (Tsinghua University) 86. An Associative Classifier For Uncertain Datasets Metanat HooshSadat (University of Alberta) Osmar R. Zaiane (University of Alberta)