ERS Working Group

Egyptian Rough Sets Group

 

 

Rough Sets and Soft Computing In Decision Making

 

 

 

Prof. Abdel-Badeeh M. Salem ,  Professor  A.M Kozae  and Dr. Aboul Ella Hassanien

 Egyptian Rough Sets Working Group (ERS) Click here!

This session is organized as a part of

The second  International Computer Engineering Conference:

Engineering the Information Society

 Cairo, EGYPT, December 26-28, 2006

www.icenco2006.eng.cu.edu.eg

Call for papers

       Rough Set theory was introduced by Z. Pawlak in the early 80's and has reached a level of high visibility and maturity. In recent years, we have witnessed diverse, as well as, widespread research in rough set theory and its applications worldwide. A considerable number of applications of rough sets in medicine, economics, finance, business, environment, electrical and computer engineering,   software engineering, and information science have been introduced in recent years. In addition, many rough set case studies and more than a dozen commercial, as well as, research rough set tools are currently available.

 This special session organized in the framework of the Egyptian rough set working group (ERS). It aims at providing an opportunity for researchers from different disciplines including mathematics, computer science, electrical engineering, physics and clinical medicine to present state-of-the-art in rough set theory and its applications.  The special session will be oriented towards both theoretical and applications aspects of rough sets. The issue will also make it possible for researchers and developers to highlight new research directions, new applications, and a growing number of relationships between rough sets and such areas as computational intelligence, knowledge discovery and data mining, intelligent information systems, synthesis and analysis of complex objects and non-conventional models of computation.   

 Topics for the conference may include but are not limited to: 

         Theoretical issues related to:

o        Feature extraction and feature selection

o        Data reduction ( reducts)

o        Decision rules synthesis and tuning

o        Recurrent  processing,

o        Classification and clustering design,

o        Multi-resolution processing,

o        Granular computation,

o        Analysis of time series   and  temporal data processing,

o        Continuous features and feature discretization, 

o        Preserving similarity, and extraction of similarity relation from data,

o        Multi-criteria decision analysis

o         Hybrid and integrated intelligent systems (rough sets, fuzzy sets, Bayesian processing),

         Applications:

o        Image  processing,

o        Computer speech recognition system

o        Modeling,

o        Compression,

o        Web mining,

o        Time-series,

o        Speech and language processing, 

o        Bio-informatics,

o        Genomic science,

o        Content based  similarity retrieval,

o        Signal processing, 

o        Intelligent systems,

o        Prediction and  control,

o        Robotics,

o        Business and finance,

o        Other

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Submission of papers and important date

Authors are invited to submit a paper   by August 31, 2006.  

If you are interested in submitting a paper to this special session  you can  submit it to 
the organizer directly at absalem@asunet.shams.edu.eg, akozae55@yahoo.com or  abo@cba.edu.kw  

IMPORTANT DEADLINES

Submissions due

August, 31, 2006

Notification of acceptance

September 15, 2006

Camera-ready manuscripts due

September, 30,, 2006

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About ICENCO'06

The ICENCO conference is a major collaboration among researchers and practitioners around the world, to discuss the major new frontiers in the information technology area, and to present cutting edge research in various fields within that area.

All information regarding the conference can be found at the conference website: www.icenco2006.eng.cu.edu.eg The contents of this website include:

  • Call for Papers
  • Important dates
  • Registration information
  • Conference venue

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Contact Information

Prof. Abdel-Badeeh M. Salem

Ain Shams University.
Faculty of Computer and Information Sciences,

Department of Computer Science
Abbasia, Cairo,

11566, Cairo, Egypt.

 Egypt.
 

Phone:   (002-02 )6844284 / 6855585/  6858907  

Fax:  +202 4825544
E-mail: absalem@asunet.shams.edu.eg
 

&

Professor  A.M Kozae,

Tanta University
Faculty of Science, 

Mathematics Department,
Egypt

E-mail:  akozae55@yahoo.com

&

Dr. Aboul Ella Hassanien

Kuwait University
College of Business Administration
Quantitative and Information System Department
P.O. Box 5486 Safat
Code No. 13055
Kuwait

Phone: +965 611 6203
Fax: +965 483 9406
E-mail: Abo@cba.edu.kw
Homepage: http://www.cba.edu.kw/abo

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Accepted papers

       All submitted papers for the special rough and soft computing  session at ICENCO 2006 have gone through the regular  review process. After reviewing, the following papers were accepted for the special session:

  • An Incomplete Data Analysis Approach Based on the Rough Set Theory and Divide-and-Conquer Idea
    Zaimei ZhangRenfa LiZhongsheng LiHaiyan Zhang, 
  • Bioperation and Rough Sets, Heba I.Mustafa, A.M.Kozae, T.Y.Lin
  • Using Fuzzy Memberships and Shape-Driven Level Sets to Extract Multiple Object Instances from Images,  Moumen T. El-Melegy and Nagi H. Al-Ashwal
  • Two New Topological Rough Operators,  A. S. Salama
  • Fuzzy Higher-Order Petri Nets and its Applications to Manage Uncertainty in Expert Systems,  M. Amin and  M. W. Hassan, E
  • A Rough Wavelet Network Model with Genetic Algorithm and Its Application to Aging Forecasting of Application Server Meng Hai Ning,  Qi Yong, Hou Di   and Chen Ying ,
  • Two Neural Networks-Based Models to Predict the Egyptian Stock Markets.  MOHAMMAD SAMMANY   and MOHAMMED EL-BELTAGY , 
  • Multi-Class SVMs Based on Fuzzy Integral Mixtur for Handwritten Digit Recognition,  Hassiba NEMMOUR and Youcef CHIBANI
  • Topological Solution of Missing Attribute Values Problem in Incomplete Information Tables,  A. S. Salama, 
  • Pulse Coupled Neuron (PCN) for Automatic Boundary Detection of the  Prostate Ultrasound Images , A. Radi,    E. El-dahshan,  and   Aboul Ella Hassanien, 
  • Optimizing Neural Networks Architecture and Parameters Using Genetic Algorithms for diagnosing Plant DiseasesMohammad Sammany and Mohammed El-Beltagy
  • GRANULAR COMPUTING: Reduction of information system values,  A.M. Kozae, A.A. Abo Khadra , T. Medhat

                                                           

 

The session will take place on ......... November , 2006.