Volume 4 Number 3 (Mar. 2009)
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Guest Editorial: Special Issue: Selected Best Papers of International Workshop on Knowledge Discovery and Data Mining 2008 (WKDD 2008) Track on Innovative Computing

Guest Editors: Qi Luo, Ben K. M. Sim
    Knowledge discovery and data mining (KDD) have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databases, statistics, knowledge acquisition, data visualization, and high performance computing. Knowledge discovery and data mining can be extremely beneficial for the field of Artificial Intelligence in many areas, such as industry, commerce, government, education and so forth.
    The First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) are sponsored by Institute of Computer Science, Social Informatics and Telecommunications Engineering (ICST), in cooperation with Ningbo University, China, Wuhan University of Science and Technology Zhongnan Branch, China, and Association for Computing Machinery (ACM). The workshop is hosted by the University of Adelaide, Australia on 23-24 January 2008. Out of more than 400 papers submitted to WKDD 2008 workshop, we have chosen 15 outstanding papers to be published in this special issue, track on Innovative Computing. All these papers have been reviewed in the second round and were recommended to contain 30% more new material to be accepted and published in this Special Issue.
    To have a quick look at some papers in this special issue, in the first paper, Wang Weixiang et al. give a new definition of T-F function for discrete global optimization. A T-F function satisfying this definition is proposed. Furthermore, they discuss the properties of the proposed T-F function and design a new discrete T-F function algorithm. Bo Meng gives a formal logic framework for receipt-freeness based on V. Kessler and H. Neumann logic. The framework is then applied to analyze receipt-freeness of two typical voting protocols: FOO and Meng Internet voting protocol. Wang Chu and Depei Qian have proposed a pattern oriented service design method.
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General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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