ISSN : 1796-203X
Volume : 3    Issue : 10    Date : October 2008

Special Issue:
Selected Best Papers of International Workshop on Knowledge Discovery and Data Mining 2008
(WKDD 2008) - Track on Intelligent Computing

Guest Editors:
Qi Luo and Ben K. M. Sim

Qi Luo and Ben K. M. Sim
Page(s): 1-2
Full Text:
PDF (251 KB)

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 Intelligent 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, in order to implement
both the efficiency and security in the Peer-to-Peer (P2P) network, Yingjie Xia et al. have designed a
trusted small world overlay P2P network with the role based and reputation based access control
policies, denoted as SW-R2P. The SW-R2P system integrates the small world topology with zero
knowledge identification and Bayesian trust model. The zero knowledge identification is utilized to
securely cluster all the peers into several groups without transferring any related information. Zhou
Qihai et al. have proposed an isomorphic new algorithm for finding convex hull with a maximum
pitch of the dynamical base line guided by apexes distributing characteristics. Wu Jian and Li Xing
ming implement a fast and stable algorithm to mining weighted association rules based on Item
Sequence Sets (ISS).

To tackle the Supply chain risk evaluation problem, Peide Liu and Tongjuan Wang firstly identify and
discuss some of the important and critical decision criteria and construct the evaluation indicator
framework. Then a modified grey relational analysis method based on the concepts of ideal and
anti-ideal points are presented. Dehuai Zeng et al. have proposed an novel data fusion method for
traffic incident detection using D-S evidence theory with probabilistic SVMs. Jia Xiaoliang et al.
provides an overview CAPP database of the field, clarifying how PPKD in CAPP database are related
both to each other and to related fields. The technology architecture of process planning knowledge
discovery is founded based on object-oriented model-driven technology, and the process planning
knowledge discovery script is designed.

Next, Kai Du et al. present a new object-based-repairing Markov model. Bo Jiang et al. have
proposed a novel intelligent cooperative efficiency evaluation mechanism via mining the reaction
information. By visualizing cooperative efficiency, cooperators are enabled to concentrate on the
most of controversial part of the cooperative work. Related algorithm that includes two key concepts:
expectation and convergence is proposed. Finally, Jia Wu and Ling Chen proposed a fast algorithm
for mining frequent subgraphs in large database of labeled graphs.

We hope that the readers of this Special Issue enjoy reading and finding it useful in their future
research. We first would like to thank the authors who worked hard to add substantial materials to
the conference versions. Also, we would like to thank the Editor In Chief, George J. Sun for his
patience throughout this process.

Guest Editors:

Qi Luo
Chair, IEEE SMC Technical Committee on Education Technology and Training, USA
Wuhan Institute of Technology, China
Chair, Intelligent Information Technology Application Research Association, Hong Kong
Editors-in-Chief, International Journal of Intelligent Information Technology Application

Ben K. M. Sim
Associate Editor, IEEE Transactions on Systems, Man & Cybernetics, Part C
Guest Editor, IEEE Systems Journal (IEEE Systems Council)
Associate Editor, International Journal of Applied Systemic Studies (Inderscience)

Index Terms
Special Issue, Knowledge Discovery, Data Mining, Intelligent Computing