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关于IJITDM杂志:目标和涵盖的领域
International Journal of Information Technology and Decision Making (IJITDM) provides a global forum for exchanging research findings and case studies which bridge the latest information technology and various decision-making techniques. It promotes how information technology improves decision techniques……                                              更多内容>>
  1. Call for Paper for Workshop on Multiple Objective Decision Support on Health and Environment Domain at the 20th International Conference on Multiple Criteria Decision making
  2. Call for Paper of the Workshop On Computational Finance and Business Intelligence at ICCS 2009
  3. Call for Paper for Workshop on Optimization-based Data Mining and Web Intelligence, The 2008 IEEE/WIC/ACM International Conference on Web Intelligence
  4. 中国企业总裁科学经营峰会08
  5. MCDM 2008 - 19th International Conference on Multiple Criteria Decision Making
  6. 2007 IEEE International Conference on Data Ming
  7. Call for Paper of THE FIRST WORKSHOP ON WORKSHOP ON COMPUTATIONAL FINANCE AND BUSINESS INTELLIGENCE at ICCS 2008
  8. Call for Paper of THE FIRST WORKSHOP ON BUSINESS INTELLIGENCE AND DATA MINING at APWeb 2008
  9. Optimization-based Data Mining Techniques with Applications - Workshop of IEEE ICDM’07
  10. Call for Papers of the Workshop on COMPUTATIONAL FINANCE AND BUSINESS INTELLIGENCE for ICCS 2007, Beijing
  11. ICCS 2007 : "Advancing Science and Society through Computation"
  12. Optimization-based Data Mining Techniques with Applications - A Workshop of IEEE ICDM’06
  13. ICCS 2006 International Conference On Computational Science
  14. MCDM 2006 The 18th International Conference on Multiple Criteria Decision Making
  15. 2006 IEEE International Conference On Data Mining
  16. Optimization -based Data Mining Techniques with Applications - A Workshop of IEEE ICDM'05
  17. WORKSHOP ON COMPUTATIONAL OPTIMIZATION, DATA MINING AND BUSINESS INTELLIGENCE
This book is a valuable summary of the research he and his colleagues have conducted during the last 15 years. It will interest researchers working on extensions and generalizations of LP models and pivoting-based algorithms. The final part on applications may interest a broad audience of OR practitioners because Shi describes successful applications                                                                                       更多内容>>
This book constitutes the thoroughly refereed post-proceedings of the Chinese Academy of Sciences Symposium on Data Mining and Knowledge Discovery CASDMKD 2004, held in Beijing, China in July 2004.The 25 revised full papers presented together with 3 invited keynote papers were carefully reviewed and selected from 60 submissions. The papers                                                                                              更多内容>>
Introduction to Business Data Mining was developed to introduce students, as opposed to professional practitioners or engineering students, to the fundamental concepts of data mining. Most importantly, this text shows readers how to gather and analyze large sets of data to gain useful business                                                                                       更多内容>>

Edited By: Xingquan Zhu, University of Vermont, USA; Ian Davidson, State University of New York at Albany, USA,2006.
Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challenges and Realities is the most comprehensive reference                                                                                       更多内容>>

食品安全,绿色壁垒与贸易争端-WTO贸易争端案例评析与对策
(石敏俊,陈志钢,吴子平,王秀清),中国农业出版社,2005.)                                                                                                     更多内容>>
Food Safety: Consumer, Trade, and Regulation Issues, (Chen, K., Z. Huang and M. Shi ) , Zhejiang University Press,2005.

 
2006.7 - 2007.7期间发表的文章
2005.7 - 2006.7期间发表的文章
2005.7以前发表的文章
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