Knowledge Discovery from Data
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Special Issue on Knowledge Discovery for Web Intelligence
Guest Editors:Ning Zhong, Gregory Piatetsky-Shapiro, Yiyu Yao, and Philip Yu
http://wi-consortium.org/cyberchair/SI-KDWI
Web Intelligence (WI) is a new direction of scientific research and development that explores the fundamental roles, practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-empowered products, systems, services, and activities. The fast growing interest and extensive research results have convinced many researchers that Web Intelligence is one of the most promising IT research fields in the era of Web and agent intelligence.
Knowledge Discovery and Data Mining provide a key technology for Web Intelligence and have been applied in many newly developed intelligent Web information systems. New requirements arise from an increasing number of Web based real-world applications (e-applications for short), such as e-business (including e-commerce and e-finance), e-service, e-science, e-learning, e-government, and e-community and social networks. The main objective of this special issue is to present a showcase of the theory and applications of knowledge discovery and data mining for Web Intelligence.
Topics of Interest
The topics and areas include, but not limited to:- Knowledge Discovery for e-Business Intelligence
- Knowledge Discovery for One-stop Service
- Knowledge Discovery for Personalization
- Knowledge Discovery for Personalized Information Supply
- Knowledge Discovery for Trust, Privacy, Security in Web Information Systems
- Knowledge Discovery for Web Information Retrieval and Gathering
- Knowledge Discovery for Web Reasoning and Problem Solving
- Knowledge Discovery for Wisdom Web Computing
- Knowledge Discovery in e-Market
- Knowledge Discovery in Human-Web Interaction
- Knowledge Discovery in Social Networks
- Knowledge Grid in e-Protal and e-Community
- Knowledge Resources and Services Discovery
- Learning User Profiles
- Semantic Web Content Mining
- Semantic Web Log, Click-stream and Usage Mining
- Web Farming and Warehousing
On-Line Submissions and Publication
On-Line Submissions:http://wi-consortium.org/cyberchair/Specialissue/SI-KDWI
Each paper will be peer-reviewed by at least three reviewers.
Important Dates:
Submission of full papers: Sept 1, 2008
Notification of paper acceptance: Dec 1, 2008
Details of the journal, manuscript preparation, and recent articles are available on the website:
http://tkdd.cs.uiuc.edu/
Contact information: Ning Zhong