MSN-DS 2009

MSN-DS 2009
The First International Workshop on Mining Social Networks for Decision Support
Dates	Jul 20, 2009 (iCal) - Jul 22, 2009
Homepage:	im.nuk.edu.tw/~iting/MSNDS2009/index.php
Location
Location:	Athens, Greece
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Important dates
Submissions:	Feb 6, 2009
Camera ready due:	Apr 3, 2009
Table of Contents

Fist Call for Papers

-------------------------------------------------------------
The First International Workshop on Mining Social Networks for Decision Support
(MSN-DS 2009)
20-22/July/2009 Athens, Greece
http://im.nuk.edu.tw/~iting/MSNDS2009
---------------------------------------------------------------
Important Dates:
6 February, 2009 Paper Submission Deadline
20 March, 2009 Notification of Acceptance
3 April, 2009 Camera-Ready Due
7 April, 2009 Registration Due
20-22 July, 2009 Conference Dates
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Mining social networks has now becoming a very popular research area not only for data mining and web mining but also social network analysis.
Data mining is a technique that has the ability to process and analyze large amount of data and by this to discover valuable information from the data.
In recent years, due to the growth of social communications and social networking websites
data mining becomes a very important and powerful technique to process and analyze such large amount of data.
Recently, many researches are focusing on developing new data mining techniques and algorithms
or devoting to improve traditional mining techniques for social network analysis.
However, it is meaningless, if the discovered valuable and useful data have not been applied in real application environment.
Social data are the aggregations of communication interaction and experience of people
and it if useful for us to make decision from these data.
Thus, it could be an important time to shift the research focus to application area such as decision support.

This year, the workshop will be held in conjunction with The 2009 International Conference on Advances in Social Networks Analysis and Mining (ASONAM) in Athens, Greece. We are looking forward to you submission and participation to the workshop and the main conference. This workshop invites papers of the following topics, but never exclusive:

    * Mining Social Data for Decision Support
    * Mining Social Web sites for Decision Support
    * Algorithms for Mining Social Networks for Decision Support
    * Matching Engines and Interface for Decision Support Systems
    * System Architectures
    * Intelligent and Multi-agent based Decision Support Systems
    * Social Decision Support Systems
    * Visualization
    * Experiment and Implementation
    * Case Studies and Empirical Studies




Paper Submissions:
Authors are invited to submit original, 
unpublished research papers that are not being considered in another forum.
Manuscripts will be limited to 6 (IEEE style) pages.
Please follow the IEEE Computer Society Press Proceedings Author Guidelines to prepare your papers with 8.5'' x 11'' two-column format.
Submission should include the title, author(s), affiliation(s), e-mail address(es), tel/fax numbers, abstract, and postal address(es) on the first page. 


Please submit your manuscript to:
Dr. I-Hsien Ting iting@nuk.edu.tw
Dr. Hui-Ju Wu d94311001@mail.ncue.edu.tw


Workshop Chairs
I-Hsien Ting (National University of Kaohsiung, Taiwan)
Tien-Hwa Ho (Yuanpei University, Taiwan)
Hui-Ju Wu (National Changhua University of Education, Taiwan)

Program Committee
Ajith Abraham (Chung-Ang University, Korea)
Daniela Godoy (UNICEN University, Argentina)
Yingzi Jin (University of Tokyo, Japan)
Chris Kimble (Euromed Marseille Ecole de Management, France)
Daniel Kudenko (The University of York, UK)
Georgios Lappas (Technological Educational Institution Of Western Macedonia, Greece)
Laura Ripamonti (Universita degli Studi di Milano, Italy)
Mei-Ling Shyu (University of Miami, USA)
Chen-Shu Wang (ChungHua University, Taiwan)
Geeng-Neng You (National Taichung Institue of Technology, Taiwan)
Anna V. Zhdanova (Telecommunications Research Center Vienna, Austria)
	

This CfP was obtained from WikiCFP