<div dir="ltr"><font>Call for Papers<br><br>Special Issue on Mathematics, Data and Knowledge (</font><font><a href="http://mine.kaust.edu.sa/Pages/CFP-MCS-SI.aspx" target="_blank">http://mine.kaust.edu.sa/Pages/CFP-MCS-SI.aspx</a></font>)<br>
<font><br>Mathematics in Computer Science (<a href="http://www.springer.com/birkhauser/mathematics/journal/11786" target="_blank">http://www.springer.com/birkhauser/mathematics/journal/11786</a>)<br><br><br>
<br>There is a growing interest in applying mathematical
theories and methods (from topology, computational geometry,
differential equations, fluid dynamics, quantum statistics, etc.) to
describe and to analyze scientific regularities of diverse, massive,
complex, nonlinear, and fast changing data accumulated continuously
around the world and in discovering and revealing the valid, insightful,
and valuable knowledge that data imply. With increasingly solid
mathematical foundations, various methods and techniques have been
studied and developed for data mining, modeling, and processing, and
knowledge representation, organization, and verification; different
systems and mechanisms have been designed to perform data-intensive
tasks in many application fields for classification, predication,
recommendation, ranking, filtering, etc. This MCS special issue invites
submissions of original research articles on the exploration of new
mathematical theories and methodologies for data modeling and analysis,
and knowledge discovery and management, on the study of existing
mathematical models of big data and complex knowledge, and on the
development of novel solutions and strategies to enhance the performance
of existing systems and mechanisms for data and knowledge processing.
Specific topics include, but are not limited to:
</font><font><br><br>· Mathematical foundations and theories for data-intensive and knowledge-based systems
</font><font><br><br>· Mathematical, statistical, and dynamic analysis of data and knowledge models<br><br>· Mathematical methods for big data storage, transferring, and processing<br><br>· Mathematical methods for complex knowledge representation, organization, visualization, and management
</font><font><br><br>· Mathematical methods for data mining, pattern recognition, artificial intelligence, and knowledge discovery<br><br>· Algebraic, geometric, analytic, discrete, probabilistic,
fuzzy, rough set, and cognitive modeling of recommendation systems,
ranking systems, rating systems, expert systems, etc.
</font><font><br><br>· Mathematical theories for the development of evolutionary computing, neural networks, and genetic algorithms<br><br>
</font><font> <br><br>Important Dates<br><br>Deadline for paper submission: May 31, 2013<br><br>Notification of acceptance: September 15, 2013<br><span></span><span></span><br>Final paper submission: October 1, 2013<br><br>
Publication of special issue: December 2013
</font><font><br><br> <br><br>Submission Guidelines (<a href="http://www.cc4cm.org/mcs/instructionsforauthors.html" target="_blank">http://www.cc4cm.org/mcs/instructionsforauthors.html</a>)<br><br>Authors are encouraged to prepare submissions by using LaTeX with the class file mathincl.cls<span> (<a href="http://www.cc4cm.org/mcs/inlineframes/mathincs.zip" target="_blank">http://www.cc4cm.org/mcs/inlineframes/mathincs.zip</a>)</span><span></span>. Papers should be sent as PDF files to <a href="mailto:special.issue.mdk@gmail.com" target="_blank">special.issue.mdk@gmail.com</a>. All submitted papers will be refereed according to the usual MCS refereeing process.<br>
<br><br></font><br>Guest Editors<br><br>Xiaoyu Chen (<a href="mailto:franknewchen@gmail.com" target="_blank">franknewchen@gmail.com</a>), School of Computer Science and Engineering, Beihang University, China<br><br>Dongming Wang (<a href="mailto:Dongming.Wang@lip6.fr" target="_blank">Dongming.Wang@lip6.fr</a>), Laboratoire d'Informatique de Paris 6, CNRS-UPMC, France<br>
<br>Xiangliang Zhang (<a href="mailto:Xiangliang.Zhang@kaust.edu.sa" target="_blank">Xiangliang.Zhang@kaust.edu.sa</a>), King Abdullah University of Science and Technology, Saudi Arabia
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