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).