-------- Original-Nachricht -------- Betreff: [WI] Call for Papers SAM Special Issue: Data Analytics for Decision Support Datum: Fri, 9 May 2008 23:59:13 +0200 (CEST) Von: myra@iti.cs.uni-magdeburg.de An: wi@aifb.uni-karlsruhe.de
STATISTICAL ANALYSIS AND DATA MINING
Call for Papers Special Issue: Data Analytics for Decision Support Guest Editors: - Naoki Abe, IBM Research, nabe@us.ibm.com - Donald P. Gaver, Naval Postgraduate School, dgaver@nps.edu - Myra Spiliopoulou, Otto-von-Guericke-University Magdeburg, myra@iti.cs.uni-magdeburg.de
The purpose of this special issue is to feature recent advances in data mining and statistical analysis within the challenging new area of data analytics for decision support.Current decision makers rely upon a variety of heterogeneous data and information fragments, to make well-informed and productive decisions. Advanced methods of data mining, machine learning and statistical analysis are utilized to enable them to deal with massive data volumes, which arrive from different sources, in different formats or granularities, and with possibly incomplete or unreliable content. Methodological foundations are also needed to guarantee the delivery of desired decision support within predefined narrow time frames, as required for significant applications such as crisis management or emergency surgery.
The area of data analytics for decision support covers business applications ranging from strategic or tactical management, through resource or process management, to marketing or distribution, and the collaborations they require. It also involves a large variety of other stakeholders, including government authorities responsible for defense, environmental protection, homeland security, infrastructure, public health, medicine, robotics and many more.In this special issue, we are soliciting papers describing methodologies, tools and successful solutions to facilitate decision support. We also welcome potential data analytic responses to challenging decision support issues.
Paper submission deadline: July 31, 2008
Consult http://www.interscience.wiley.com/SAM for the special issue and the Statistical Analysis and Data Mining Journal (SAM).