[AISWorld] CALL FOR PARTICIPATION : PAKDD2012
Ming Li
lim.lamda at hotmail.com
Sat Mar 17 04:11:50 EDT 2012
============================================================
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 (Universit?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
(Universit?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)
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