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Conference Paper Abstract

Technical Lecture Sessions

Click on the links to view the abstract of the report.


Sunday,May 29,2011 9:40-10:00
Can Studies on Data Related Issues Be "Data Science"?
Yong Shi
Research on Fictitious Economy & Data Science
Chinese Academy of Sciences, Beijing 100190, China
Sunday,May 29,2011 10:00-10:20
Why from Data mining we move on Expert mining
Jifa Gu1*, Zhengxiang Zhu2, Wuqi Song2
1Institute of Systems Science, Chinese Academy of Sciences, Beijing 100190, China
2Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China;
Sunday,May 29,2011 10:20-10:40
Top-Down Approach to Frequent Pattern Mining
Yan Xie
University of Illinois at Chicago
yxie8@uic.edu
Philip S. Yu*
University of Illinois at Chicago
psyu@uic.edu
Sunday,May 29,2011 10:40-11:00
Two Data Mining Approaches for Crude Oil Price Forecasting
Shouyang Wang
Center for Forecasting Science, Chinese Academy of Sciences, Beijing 100190, China
Sunday,May 29,2011 11:00-11:20
Data-Brain Modeling for Systematic Brain Informatics
Ning Zhong
International WIC Institute, Beijing
University of Technology, China, and
Department of Life Science and Informatics
Maebashi Institute of Technology, Japan
Sunday,May 29,2011 11:20-11:40
Intelligence Science will meet Data Science
Zhongzhi Shi
shizz@ics.ict.ac.cn
Key Laboratory of Intelligent Information Processing
Institute of Computing Technology, Chinese Academy of Sciences
Sunday,May 29,2011 11:40-12:00
An e-Health Framework for Data Integration, Data Mining, and Knowledge Management in Health Informatics
Yanchun Zhang *
Centre for Applied Informatics
Victoria University&
Research Centre for Fictitious Economy and Data Science, Chinese Academy of Science
Sunday,May 29,2011 12:00-12:20
Mathematical foundation and applications of high dimensional data clustering:similarity regulated processing speed for pattern recognition
Jianhong Wu*
Laboratory for Industrial and Applied Mathematics, Faculty of Sciences and Engineering;
MITACS Centre for Disease Modeling, York Institute of Health Research, York University, Toronto, Canada, M3J1P3. wujh@yorku.ca
Sunday,May 29,2011 13:30-13:50
Dataology and DataScience:Up to Now
Yangyong Zhu and Yun Xiong
Research Center for Dataology and DataScience
School of Computer Science, Fudan University, Shanghai 201203, China
{yyzhu, yunx}@fudan.edu.cn
Sunday,May 29,2011 13:50-14:10
Data Mining for Social Security in E-Government Services
Chengqi Zhang*
Professor of Information Technology
Director, The Centre for Quantum Computation & Intelligent Systems
University of Technology, Sydney
Chengqi@it.uts.edu.au
Sunday,May 29,2011 14:10-14:30
Data-Driven Multi-Scale Decomposition-and-Ensemble Methodology for Complex Financial Time Series Forecasting
Lean Yu *
Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
yulean@amss.ac.cn
Sunday,May 29,2011 14:30-14:50
Leadership Ranking: Bringing Order to Correlated Time Series
Di Wu, Yiping Ke, Jeffrey Xu Yu*, Philip S. Yu, Lei Chen
The Chinese University of Hong Kong, {dwu,ypke,yu}@se.cuhk.edu.hk
University of Illinois at Chicago, psyu@cs.uic.edu
The Hong Kong University of Science and Technology, leichen@cse.ust.hk
Sunday,May 29,2011 14:50-15:10
IBMM: Data Processing Model for Reciprocal Pairwise Comparison Matrix
Gang Kou*
School of Management and Economics,University of
Electronic and Technology of China,Chengdu, China, 610054.
Kougang@yahoo.com
Sunday,May 29,2011 15:10-15:30
Monte Carlo scalable algorithms for Computational Finance
V. N. Alexandrov, Christian Gonz′alez Martel, J. Stra?burg
ICREA and Barcelona Supercomputing Centre, C/ Jordi Girona, 29, Edifici Nexus II, E-08034 Barcelona, Spain
Sunday,May 29,2011 15:45-16:05
A Data Mining Method by Factor-based Neural Network Approaches
Zengliang Liu, National Defense University, China
Sunday,May 29,2011 16:05-16:25
Multi-view Subspace Clustering for High-dimensional Data
Xiaojun Chen and Joshua Zhexue Huang
Shenzhen Institutes of Advanced Technology
Chinese Academy of Sciences,Shenzhen 518055, China.
Sunday,May 29,2011 16:25-16:45
Classification Algorithm Selection: Performance Metric, Evaluation Method, and FAMCDM
Yi Peng*
School of Management and Economics, University of Electronic
Science and Technology of China, Chengdu, 610054, P. R. China
Sunday,May 29,2011 16:45-17:05
Training the max-margin sequence model with relaxed slack variables
Lingfeng Niu, Yong Shi
Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences
niulf@lsec.cc.ac.cn, yshi@gucas.ac.cn
Jianmin Wu*
Yahoo! Bejing Research & Development Center
jianmin@yahoo-inc.com
Sunday,May 29,2011 17::05-17:25
SEARCH, THE NEXT?
Jian Yin*, Department of Computer Science of Sun Yat-sen University, China
Yabo Xu, School of Software, Sun Yat-sen University, China
Monday,May 30,2011 8:30-8:50
Database Keyword Search and Data Mining: Any Connections?
Zhengxin Chen*
Department of Computer Science
University of Nebraska at Omaha
Omaha, NE 68182-0500, USA
Monday,May 30,2011 8:50-9:10
An agent-based order-driven market model with calibration by scaling analysis
Wei Zhang
College of Management and Economics, Tianjin University
Weiz@tju.edu.cn
Yuelei Li*
College of Management and Economics, Tianjin University
liyuelei@tju.edu.cn
Yongjie Zhang
College of Management and Economics, Tianjin University
yjz@tju.edu.cn
Xiaotao Zhang
College of Management and Economics, Tianjin University
zxttju@gmail.com
Xiong Xiong
College of Management and Economics, Tianjin University
xxpeter@tju.edu.cn
Monday,May 30,2011 9:10-9:30
Discriminative Subgraph Mining
Wei Wang*
University of North Carolina at Chapel Hill,USA
weiwang@cs.unc.edu
Monday,May 30,2011 9:30-9:50
Research on Data-based Social Economic Behavior
Benfu Lv
School of Management
Graduate University of the Chinese Academy of Sciences, China
Monday,May 30,2011 9:50-10:10
Towards the Next Generation of Mobile Recommender Systems
Hui Xiong*
Email: hxiong@rutgers.edu
Rutgers Business School
Rutgers, the State University of New Jersey
Monday,May 30,2011 10:10-10:30
Cross Domain Semi-Supervised Learning using Feature Formulation
Xingquan Zhu*
Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, NSW 2007, Australia
xqzhu@it.uts.edu.au
Monday,May 30,2011 10:30-10:50
Nonlinear Integrals and Their Applications in Information Fusion and Data Mining
Zhenyuan Wang*
Department of Mathematics University of Nebraska at Omaha, USA
Monday,May 30,2011 10:50-11:10
Mass Data Mining based on Cloud Computing
Qing He
heqing@ict.ac.cn
Institute of Computing Technology, Chinese Academy of Sciences, China
Monday,May 30,2011 11:10-11:30
An Effective Graph-based Framework for Name Disambiguation
Jianyong Wang*
Department of Computer Science and Technology
Tsinghua University, Beijing, China
jianyong@tsinghua.edu.cn
Monday,May 30,2011 11:30-11:50
Feature Selection: Concept, Principle and Technical Issues
Wenxue Huang*
Department of Mathematics
Shantou University
E: whuang123@yahoo.com
Monday,May 30,2011 11:50-12:10
Knowledge-driven Support Vector Machines
Yingjie Tian*
Research on Fictitious Economy & Data Science
Chinese Academy of Sciences, Beijing 100190, China