Call for Book Chapters

Chapter proposal submission deadline: May 30, 2008

Full chapter deadline: June 30,  2008

There is no apriori limit on the number of pages, in principle, 30 pages is a reasonable limit.


                

 

Data Mining: Theoretical Foundations and Applications

 

Volume (s) Editors: Ajith Abraham, Aboul-Ella Hassanien, Andre de Carvalho and Vaclav Snasel

To be published in "Studies in Computational Intelligence" published by Springer Verlag, Germany

                                                                     Book Objectives & Mission: 

Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, banking, retail, and many others. Advanced representation schemes and "Computational intelligence" techniques such as rough sets, Neural Networks; Fuzzy Logic; Evolutionary Computing; Artificial Immune Systems; Swarm Intelligence; Reinforcement Learning and evolutionary computation have proved valuable when they are applied to Data Mining problems. Therefore, we encourage authors to present original chapter dealing with the incorporation of such techniques into data mining algorithms and processes.

Topics

 

 

Topics include, but are not limited to:

  • Adaptive and incremental algorithms
  • Application of data mining methods to innovative and real-world problems
  • Data mining algorithms
  • High performance and parallel/distributed data mining
  • Innovative data Mining applications
  • Meta learning
  • Mining data streams and sensor data
  • Mining for information retrieval
  • Mining multi-media data
  • Mining social networks and graph data
  • Mining spatial and temporal data
  • Mining text, Web and semi-structured data
  • Pre-processing and post-processing in data mining
  • Security, privacy, and adversarial data mining
  • Visualization of data mining patterns
  • The use of fuzzy and rough sets to improve the interpretability of data mining results.
  • The applicability of genetic algorithms and evolutionary computation in data mining tasks.
  • Ontologies and their role in discovering complex patterns.
  • The discovery of rarities, anomalies, exceptions, and other kinds of knowledge.
  • Alternative techniques for the representation and exploration of data mining results.
  • Novel models and techniques for summarizing data mining results.
  • Methods for dealing with imprecision and uncertainty in the data mining results
  • Data Mining Integration
  • Data Mining Applications (Bioinformatics, Medicine Data Mining, Business Data Mining, Corporate Data Mining, Credit Scoring, Direct Marketing, Database Marketing, Industrial Data Mining,Engineering Mining,Military Data Mining, Security Data Mining, Social science Mining, etc.)

General theoretical foundations and issues

  • Granular computing
  • Rough set
  • Computing with words
  • Fuzzy sets
  • Uncertainty
  • Decision-making
  • General theoretical issues
  • Computational time complexity of algorithms
  • Characterization of hard and easy problems
  • Novel measures and techniques for characterizing problem hardness
  • Interactions between search operators and representation
  • Convergence analysis
  • Interactions between learning and evolution
  • Generalization in neural, fuzzy and evolutionary learning
  • Complexity in adaptive systems
  • Biologically inspired computing system
  • Cognitive science for information engineering
  • Data analysis and pattern recognition
  • Information geometry
  • Knowledge discovery
  • Lifelong learning
  • Modeling of human thinking/decision making
  • Social intelligence
  • Statistical learning theory
  • Statistical physics of information theory
  • Supervised, unsupervised and reinforcement learning
  • other topics

 

  Submission Guidelines and important dates

         Researchers and practitioners are kindly invited to send on or before May 30 2008 a short email to

 

Aboitcairo@gmail.com

 

containing a preliminary title and a short abstract of their chapter. This will facilitate the planning of the review process.  All chapter proposals will be peer reviewed.  Full chapters will be expected by June 30  2008. All submitted chapters will be reviewed by at least three reviewers on a double-blind review basis.  

 

May  30  2008

Deadline for chapter proposals ( title and short abstract)

June  30  2008

Deadline for full chapters

August 15, 2008

Notification of acceptance/rejection of chapters

August 30, 2008

Deadline for submission of final chapters


 Original artwork and a signed copyright release forms will be required for all accepted chapters.


Volume Editors

 

 

 

 

 

Ajith Abraham

 

Center for Quantifiable Quality of Service in Communication Systems 
Norwegian University of Science and Technology,

 O.S. Bragstads plass 2E, N-7491 Trondheim, Norway
Email: ajith.abraham@ieee.org,  abraham.ajith@acm.org 

URL: http://www.softcomputing.net

 

 

 Aboul-Ella Hassanien

 

Kuwait University

College of Business Administration,

Quantitative Methods and IS Department

P.O. Box 5486 Safat, 13055 Kuwait

Tel: 965-4839364

Email: Abo@cba.edu.kw

URL:  http://www.cba.edu.kw/abo

 

 Andre de Carvalho

Department of Computer Science
University of São Paulo
SCE - ICMSC - USP
Caixa Postal 668
13560-970 Sao Carlos, SP - Brazil
phone: +55 16 273-9691(voice)
fax: +55 16 273-9751 (fax)

http://www.icmc.usp.br/~andre/

 

Václav Snášel

Vice - Dean for Research and Science
Faculty of Electrical Engineering and Computer Science
VSB-Technical University of Ostrava

http://www.cs.vsb.cz/snasel/

vaclav.snasel@vsb.cz

 

About the series "Studies in Computational Intelligence"

 

 

 

 

 

      The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence – quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results.

Instructions for Authors (Preparation of Manuscripts)

   Careful preparation of the manuscripts will help keep production time short and ensure satisfactory appearance of the finished book. Please prepare the manuscript using the author guidelines and format given in the following link: Author Guidelines

General guidelines:

  • Please centralize all tables and figures with appropriate legends.

  • Please carefully check for typos inside the figures/legends etc.

  • All equations must be numbered and please try to use standard fonts.

  • Produce a LaTeX version of your chapter using the template provided
    (see     Author Guidelines  at  http://www.softcomputing.net/cec06/author-kit.zip

 

Contact information

 

Andre de Carvalho

Department of Computer Science
University of São Paulo
 SCE - ICMSC - USP
Caixa Postal 668
13560-970 Sao Carlos, SP - Brazil
phone: +55 16 273-9691(voice)
fax: +55 16 273-9751 (fax)

http://www.icmc.usp.br/~andre/

&

Aboul-Ella Hassanien (Abo )

 Kuwait University
College of Business Administration
Quantitative and Information System Department
P.O. Box 5486 Safat
Code No. 13055
Kuwait
E-mail: Aboitcairo@gmail.com

http://www.cba.edu.kw/abo

 

 

 

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