GrC 2011 - GrC 2011 : IEEE International Conference on Granular Computing
Topics/Call fo Papers
The 2011 IEEE Internaional Confenrece on Granular Computing
Sapporo, Japan, August 11-13, 2011
Sponsored By IEEE Computer Society
Indexed by EI (GrC 2005, 2006,2007, 2008, 2009 are indexed by EI).
Contact: tylin-AT-cs.sjsu.edu
Introduction
Granular Computing (GrC) is a general computation theory for effectively using granules such as subsets, neighborhoods, turples(ordered subsets), relations(subsets of Caresian products), fuzzy sets(membership functions), variables (measurable functions), Turing machines(algorithms),and intervals to build an efficient computational model for complex with huge amounts of data, information and knowledge. (See Granular Computing Informastion Center).
Though the label is relatively recent, the basic notions and principles are quite common, even ancient. For example, granulations of daily objects,such as human body, are ancient practices. The infinitesimal that led to invention of Calculus, are the ancient intuition on the granulatiion of space and time.
Heisenburg uncertainty (a neighborhood of possible locations)intergral part of modern physics (quantum mechanics). Information hiding in programming, divide and conquer in algoritnm development are common practices of granular computing in computer science.
Fuzzy and rough set theories, neutrosophic computing, quotient space, belief functions, machine learning, databases, data mining, cluster analysis, interval computing, more recently social computing, computing all involve granular computing.
Topics of interest
The topics and areas include, but are not limited to:
Computational Intelligence
* Neural Networks
* Fuzzy Systems
* Evolutionary Computation
* Rough Sets and Formal Concept Analysis
* etc.
Foundation of Data Mining and Learning Theory
* Probabilistic / Stochastic Learning
* Machine Learning
* Kernel Machines
* etc.
Applications
* Bioinformatics
* Medical Informatics and Chemical Informatics
* e-Intelligence
* Web Intelligence
* Web Informatics
* Web Mining and Semantic Web
* etc.
Important Dates (Tentative)
Workshop proposal submission: April 1, 2011
Electronic submission of full papers: May 1, 2011
Tutorial proposal submission: May 24, 2011
Notification of paper acceptance: June 1, 2011
Camera-ready of accepted papers: June 10, 2011
Conference: Augst 11-13, 2011
Sapporo, Japan, August 11-13, 2011
Sponsored By IEEE Computer Society
Indexed by EI (GrC 2005, 2006,2007, 2008, 2009 are indexed by EI).
Contact: tylin-AT-cs.sjsu.edu
Introduction
Granular Computing (GrC) is a general computation theory for effectively using granules such as subsets, neighborhoods, turples(ordered subsets), relations(subsets of Caresian products), fuzzy sets(membership functions), variables (measurable functions), Turing machines(algorithms),and intervals to build an efficient computational model for complex with huge amounts of data, information and knowledge. (See Granular Computing Informastion Center).
Though the label is relatively recent, the basic notions and principles are quite common, even ancient. For example, granulations of daily objects,such as human body, are ancient practices. The infinitesimal that led to invention of Calculus, are the ancient intuition on the granulatiion of space and time.
Heisenburg uncertainty (a neighborhood of possible locations)intergral part of modern physics (quantum mechanics). Information hiding in programming, divide and conquer in algoritnm development are common practices of granular computing in computer science.
Fuzzy and rough set theories, neutrosophic computing, quotient space, belief functions, machine learning, databases, data mining, cluster analysis, interval computing, more recently social computing, computing all involve granular computing.
Topics of interest
The topics and areas include, but are not limited to:
Computational Intelligence
* Neural Networks
* Fuzzy Systems
* Evolutionary Computation
* Rough Sets and Formal Concept Analysis
* etc.
Foundation of Data Mining and Learning Theory
* Probabilistic / Stochastic Learning
* Machine Learning
* Kernel Machines
* etc.
Applications
* Bioinformatics
* Medical Informatics and Chemical Informatics
* e-Intelligence
* Web Intelligence
* Web Informatics
* Web Mining and Semantic Web
* etc.
Important Dates (Tentative)
Workshop proposal submission: April 1, 2011
Electronic submission of full papers: May 1, 2011
Tutorial proposal submission: May 24, 2011
Notification of paper acceptance: June 1, 2011
Camera-ready of accepted papers: June 10, 2011
Conference: Augst 11-13, 2011
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- Fifth International Conference on Information Processing (ICIP-2011)
- Annual International Conference on. Qualitative and Quantitative Economics Research. QQE 2011
- COSTBI 2011 : Current Opinion in Structural Biology & DNA Repair - A Current Opinion in Structural Biology conference
Last modified: 2011-01-09 19:05:09