The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining

21-24 June, 2010 - Hyderabad, India

Workshop Program

Workshop Chair: Pabitra Mitra, IIT, Kharagpur, India

Workshop 1: Workshop on Data Mining for Healthcare Management (DMHM'2010)

Co-chairs:
Prasanna Desikan, Cardiac Device Telematics, Boston Scientific
Jaideep Srivastava, Computer Science & Engineering, University of Minnesota
Ee-Peng Lim, School of Information Systems, Singapore Management University

DMHM1: Applications in Genomics and Overall Healthcare
10:00 - 10:15	Introduction and Welcome
10:15 - 11:00	Invited Talk - Genomic Data: A health Care IT perspective Dr.Rajagopalan Srinivasan, TCS Innovation Labs
11:00 - 11:30	Data Mining Based Predictive Models for Overall Health Indices, Radhima Rajakumar and Kyong Shim

DMHM2: Data Mining for Disease Detection
11:45 - 12:15	Designing Patient-Specific Seizure Detectors From Multiple Frequency Bands of Intra-cranial EEG Using Support Vector Machines Haimonti Dutta, David Waltz, Ansaf Salleb Aouissi, Catherine A Schevon and Ronald Emerson
12:15 - 12:45	Classification, Treatment and Management of Alzheimer.s Disease Using Various Machine Learning Methods P Sandhya Joshi, G G Vibhudendra Simha, P Deepa Shenoy, K R Venugopal and L M Patnaik
12:45 - 13:15	Exploration of Classification Techniques as a Treatment Decision Support Tool for Patients with Uterine Fibroids Kevin Campbell, N. Marcus Thygeson and Stuart Speedie

DMHM3: Framework for Healthcare Management
14:15 - 15:00	Invited Talk - A Framework for Healthcare management: Challenges and Future Directions Sravan Desikan, Cognizant Technology Innovation Practice
15:00 - 15:30	Risk Mining in Healthcare: Building a Knowledge Base of Health Risk Patterns Mika Timonen, Paula Silvonen and Lauri Seitsonen
15:30 - 15:45	Development of Ontological Framework for Mobile Health Services M. Saravanan, G.Prasad, K.S.Yeshwanth and B. Venkatesh

DMHM4: Theory and Discussion
16:00 - 16:30	Topological Invariants of an Arterial Pulse Aniruddha Joshi, Sharat Chandran, Amod Jog, Valadi Jayaraman and Bhaskar Kulkarni
16:30 - 16:45	Applying Bagging with Heterogeneous Algorithms to Health Care Data Kuo-Wei Hsu
16:45 - 17:30	Closing Discussion

Workshop 2: Pacific Asia Workshop on Intelligence and Security Informatics (PAISI'2010)

Co-Chairs:
Hsinchun Chen, The University of Arizona, USA
Michael Chau, The University of Hong Kong
Shu-hsing Li, National Taiwan University
Shalini Urs, University of Mysore, India

10:00 - 10:50	Opening and Keynote Speech, Black Swan of Intelligence Informatics: the Impact of Outlier Effect Dr. Shalini Urs
PAISI1: Keynote Speech, and Data and Text Mining Session Chairs: Michael Chau and Alan Wang
10:50 - 11:30	Efficient Privacy Preserving K-Means Clustering Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srinathan, and C.V. Jawahar A Fuzzy Threshold Based Modified Clustering Algorithm for Natural Data Exploration Binu Thomas and G. Raju

PAISI2: Terrorism Informatics and Crime Analysis Session Chair: Weiping Chang
11:45 - 12:35	Combined Detection Model for Criminal Network Detection Fatih Ozgul, Zeki Erdem, Chris Bowerman, and Julian Bondy An Association Model for Implicit Crime Link Analysis Jau-Hwang Wang and Chien-Lung Lin Design and Deployment of a National Detecting Stolen Vehicles Network System Weiping Chang and Chingwei Su

PAISI3: Transportation Infrastructure Security Session Chair: Patrick S. Chen
12:35 - 13:15	Trajectory Similarity of Network Constrained Moving Objects and Applications to Traffic Security Sajimon Abraham and Paulose Sojan Lal An Emergent Traffic Messaging Service Using Wireless Technology Patrick S. Chen, Yong-Kuei Liu, and Chia-Shih Hsu

PAISI4: Information Access and Security Session Chair: Srinath Srinivasa
14:15 - 14:50	A Model for Detecting .Global Footprint Anomalies. in a Grid Environment Pramod S. Pawar and Srinath Srinivasa Secure Anonymous Routing for MANETs Using Distributed Dynamic Random Path Selection Vakul Mohanty, Dhaval Moliya, Chittaranjan Hota, and Muttukrishnan Rajarajan

PAISI5: Data and Text Mining Session Chair: Sung-Hyon Myaeng
12:50 - 15:55	Text Mining Technique for Chinese Written Judgment of Criminal Case Shihchieh Chou and Tai-Ping Hsing Exploration of Document Relation Quality with Consideration of Term Representation Basis, Term Weighting and Association Measure Nichnan Kittiphattanabawon, Thanaruk Theeramunkong, and Ekawit Nantajeewarawat Identifying Controversial Issues and Their Sub-topics in News Articles Yoonjung Choi, Yuchul Jung, and Sung-Hyon Myaeng

PAISI6: Data Encryption Session Chair: P. Deepa Shenoy
16:00 - 17:30	Fuzzy Biometric Signcryption Scheme with Bilinear Pairings in the Standard Model Mingwu Zhang, Bo Yang, Tsuyoshi Takagi, Yanping Shen, and Wenzheng Zhang Key Independent Decryption of Graphically Encrypted Images Ram Ratan Towards Confidentiality of ID-Based Signcryption Schemes under Without Random Oracle Model Mingwu Zhang, Pengcheng Li, Bo Yang, Hao Wang, and Tsuyoshi Takagi JPEG Steganalysis Using HBCL Statistics and FR Index Veena H. Bhat, Krishna S., P. Deepa Shenoy, Venugopal K.R., and L.M. Patnaik

Workshop 3: Workshop on Feature Selection in Data Mining (FSDM'10)

Co-Chairs:
Huan Liu, Arizona State University
Hiroshi Motoda, Osaka University
Rudy Setiono, National University of Singapore
Zheng Zhao, Arizona State University

FSDM1
14:15 - 14:50	Keynote: Feature Selection, Association Rules Network and Theory Building Sanjay Chawla, University of Sydney, Australia
14:50 - 15:08	A Statistical Implicative Analysis Based Algorithm and MMPC Algorithm for Detecting Multiple Dependencies Elham Salehi, Jayashree Nyayachavadi and Robin Gras, University of Windsor, Canada
15:08 - 15:26	Feature Extraction for Outlier Detection in High-Dimensional Spaces Hoang Vu Nguyen and Vivekanand Gopalkrishnan, Nanyang Technological University, Singapore
15:26 - 15:44	Feature Selection for Text Classification Based on Gini Coefficient of Inequality Ranbir Sanasam, Hema Murthy and Timothy Gonsalves, IITG, India

FSDM2
16:00 - 16:18	Learning Dissimilarities for Categorical Symbols Jierui Xie, Boleslaw Szymanski and Mohammed Zaki, Rensselaer Polytechnic Institute, USA
16:18 - 16:36	Attribute Selection Based on FRiS-Compactness Nikolay Zagoruiko, Irina Borisova, Vladimir Dyubanov and OlgaKutnenko, Institute of Mathematics SD RAS, Russia
16:36 - 16:54	Increasing Feature Selection Accuracy for L1 Regularized Linear Models Abhishek Jaiantilal and GregoryGrudic, University of Colorado, USA
16:54 - 17:12	Effective Wrapper-Filter hybridization through GRASP Schemata Mohamed Amir Esseghir, Universite D'artois, LGI2A laboratory, France
17:12 - 17:30	Feature Extraction for Machine Learning: Logic-Probabilistic Approach Vladimir Gorodetsky and VladimirSamoylov, St. Petersburg Institute, Russia

Workshop 4: Workshop on Behavior Informatics (BI'10)

Co-Chairs:
Philip S Yu, University of Illinois at Chicago, USA
Longbing Cao, University of Technology Sydney, Australia
Jaideep Srivastava, University of Minnesota, USA
Graham Williams, Australian Taxation Office, Australia
Hiroshi Motoda, Osaka University and AFOSR/AOARD, Japan

10:00 - 10:30	Opening & Introduction to Behavior Informatics
BI1: Behavior Representation
10:30 - 11:30	Semi-Markovian Representation of User Behavior in Software Packages Prateeti Mohapatra and Howard Michel. (6) SAPMAS: Social Activity Process Modeling and Analysis Can Wang and Longbing Cao. (2)
11:45 - 12:30	Invited Talk by Prof.Huan Liu, Arizona State University

BI2: Behavior analysis
12:30 - 13:15	Behavior Analysis of Telecom Data using Social Network Analysis Saravanan M and Avinash Polepally. (9) Understanding Human Navigation with Network Analysis Sudarshan Iyengar, Katharina A. Zweig and Veni Madhavan. (18)

BI3: Behavior Applications
14:15 - 15:45	Estimating Conceptual Similarities Using Distributed Representations and Extended Backpropagation Peter Dreisiger, Wei Liu and Cara MacNish. (19) A System with Hidden Markov Models and Gaussian Mixture Models for 3D Handwriting Recognition on Handheld Devices using Accelerometers Wang- Hsin Hsu, Yi-Yuan Chiang and Jung-Shyr Wu. (10) An Evaluation Scheme of Software Testing Strategy Babu konatham and Madhuri katabathuni. (17) Generating simulated feedback through Prognostic search methods Nithin Kumar and Vasudeva Varma. (3)

BI4: Behavior Pattern Mining
16:00 - 16:40	Detecting Suspicious Access Patterns in Secure Physical Environments Robert Biuk-Aghai, Yain Whar Si, Simon Fong and Peng-Fan Yan. (4) Event Detection based on Call Detail Records Huiqi Zhang and Ram Dantu, (24) Mining of Reinforcement Learning Behavior in Information Searching: A Case Study of Academic Database Product Using Chen Bai, Liren Gan and Yonghua Cen. (12) Smart Phone: Predicting the Next Call Huiqi Zhang and Ram Dantu. (23)
17:40 - 17:50	Conclusions and Closing

Workshop 5: Workshop on Knowledge Discovery for Rural Systems (KDRS'10)

Co-Chairs:
Leisa Armstrong, School of Computer and Security Science, Edith Cowan University, Perth Australia
Neil Dunstan, University of New England, New South Wales, Australia
Dean Diepeveen, Department of Agriculture and Food Western Australia, Australia
J Adinarayana, CSRE, IIT Bombay, Mumbai, India
P. Krishna Reddy, IIIT Hyderabad, India

10:00 - 10:10	Workshop Welcome (Special Aussie/India)
KDRS1: Knowledge discovery activities from Australian context Session chair: TBD
10:10 - 10:20	Introduction, Context, Aims from the Conveners Leisa Armstrong, Dean Diepeveen, Adinaryana, Krishna Reddy, Neil Dunstan
10:20 - 11:30	Knowledge discovery activities from Australian context (This will be an eSession with video conferencing from faculty Edith Cowan University, Australia) Overview of eAgriculture methodologies from a Australian perspective L.J. Armstrong and Dean Diepeveen A data mining framework for the identification of agricultural production areas in WA (ePaper) Y. Vagh, L. J. Armstrong, D.A Diepeveen Interrogation of water catchment data sets using data mining techniques (ePaper) A. Sehovic, L.J. Armstrong and D.A. Diepeveen Data mining techniques for land use catchment planning (ePaper) N. Dunstan

KDRS2: Knowledge discovery activities from Indian context Session chair: TBD
11:45 - 13:15	Using Knowledge Discovery techniques to improve rural sector: An Indian Perspective P. Krishna Reddy Towards Crop-Pest/Disease-Weather Interactions through Data Mining Techniques Tripathy A.K., et al. A Framework to Identify Temperature-based Suitable Crop Cultivation Period Using Sliding Window Approach S. Bhargav and P. Krishna Reddy Clustering approach to diagnose determinants of ICT empowerment of women farmers Rajni Jain, Alka Arora and Usha Ahuja

KDRS3: Data mining activities from Indian context (continued...)
14:15 - 15:00	GeoSense - Geo-ICT and SN initiative in precision agriculture J. Adinarayana Annotation and/or Same Language Subtitle in agriculture for dissemination: A Comparative study S. Prateek Framework for characterization of Vulnerability of Rural Livelihood Systems Through Data Mining M.Narayana Reddy, N.H.Rao and K.V.Kumar
15:00 - 15:45	Workshop Session Panel: An Open Discussion on Practical Data mining techniques and tools

KDRS4: General Paper Session, Practical Application, innovations and case studies Session chair: TBD
16:00 - 17:00	UF-tree: Uncertain Frequent Pattern Mining for Rural Systems S. Wang, V. Ng Identifying Social Topic Space through Network Analysis of Online Discourse C. A. Heidelberger and S. Sarnikar Effect of the climate variability and change of food grain production in India K. Kaur dhillon and B.Singh Dhillon

KDRS5: Software and decision tools demonstrations Session chair: TBD
16:00 - 17:00	This an open session to demonstrate software and decision tools from workshop participants

17:00 - 17:30	Summation of Workshop findings Proposal for establishment of Indo Australian Agriculture Informatics society Collaborations Closing Remarks