Special Sessions

Download Call for Special Session Proposal (PDF)

Interested special session organizers may submit their proposals

to the contact for GrC2014 General Affairs:

If you consider submitting your papers to the special session,
please directly contact to the special session organizer by email.

• SS1: Intelligent Data Analysis and Applications
• SS2: GrC-based Approaches to Uncertainty
• SS3: Flexible Data Analysis with Soft Computing Methods
• SS4: Intelligent and Granular Computing meets Cognitive Computing
• SS5: Advanced Computational Intelligence Techniques

SS1: Special Session on Intelligent Data Analysis and Applications

Download Call for Papers (PDF)

Session Organizers:

Professors Chun-Hao Chen, Tzung-Pei Hong, and Shyue-Liang Wang

We are organizing an invited session on Intelligent Data Analysis and Applications for IEEE GrC 2014, which will be held in Noboribetsu, Hokkaido, Japan on October 22-24.

Topics of interest include, but are not limited to:

1. Machine Learning
2. Data Mining and Discovery
3. Attribute Reduction
4. Rough Set Applied to Data Analysis
5. Fuzzy Set Applied to Data Analysis
6. Genetic Algorithms Applied to Data Analysis
7. Neural Network Applied to Data Analysis
8. Statistical Data Analysis
9. Applications of Data Analysis
10. Other New Approaches to Data Analysis

Submissions:
All contributions should be original and not published elsewhere or intended to be published during the review period. To ensure high quality, all papers will be peer-reviewed. Electronic submissions only PDF files to Prof. Chun-Hao Chen:

Important Dates:

	Submission of papers:		June 13, 2014
	Notification of acceptance:		July 11, 2014
	Final manuscript submission:		August 11, 2014

For more information please contact:

	Professor Chun-Hao Chen
	Department of Computer Science and Information Engineering
	Tamkang University, Taipei, 251, Taiwan
	Email:

SS2: GrC-based Approaches to Uncertainty

Session Organizers:

Assoc. Prof. Yasuo Kudo

Aim and Scope:
Management/Treatment of uncertainty is one of the most interesting topics in Granular Computing. The purpose of this special session is to provide and discuss various approaches to uncertainty from a viewpoint of Granular Computing (GrC).

Topics of interest include, but are not limited to:

• Rough/Fuzzy sets and incomplete information
• Clustering for uncertain data
• Algebraic approaches to uncertainty
• Logical aspects of uncertainty
• Fuzzy Set Applied to Data Analysis
• Probabilistic/Stochastic approaches and GrC

For more information please contact:

	Assoc. Prof. Yasuo Kudo
	College of Information and Systems
	Muroran Institute of Technology, Muroran, Hokkaido 050-8585, Japan
	Email:

SS3: Flexible Data Analysis with Soft Computing Methods

Session Organizers:

Professor Yasunori Endo

Aim and Scope:
Soft computing methods are the most strong and important tools in many fields such as data mining, machine learning, and pattern recognition. These days, big data such as social data have attracted interest of many researchers because the data have many significant and useful knowledge implicitly. For finding such knowledge from the data, many data analysis algorithms have been proposed with soft computing methods such as fuzzy theory, rough sets theory, clustering, kernel functions, tolerance and visualization, and developed into various applications such as text mining. In this special session, leading-edge works of data analysis and its applications with soft computing methods will be described and discussed with useful applications in the real world.

Keywords:

• Data analysis
• Soft computing
• Fuzzy set
• Rough sets theory
• Clustering
• Data mining
• Machine learning
• Pattern recognition
• Text mining
• Visualization
• Big data
• Social data

For more information please contact:

	Professor Yasunori Endo, Ph.D
	Department of Risk Engineering
	Faculty of Systems and Information Engineering
	University of Tsukuba, Japan
	Email:

SS4: Intelligent & Granular Computing meets Cognitive Computing

Session Organizers:

	Shusaku Tsumoto, Shimane University, Japan:
	Kazunori Fujimoto, Kinki University, Japan:

Introduction:
Granular Computing (GrC) is an emerging computational and mathematical theories that involve the concept of granules. A granule can be a sub-Turing machine, a piece of elementary knowledge, or a region of uncertainty, which can be viewed as elements of human intelligence. Though the label is relatively recent, the basic notions and principles, though under different names, have appeared in many related fields, such as neighborhood systems and infinitesimals in the foundation of granular computing, divide and conquer in theoretical computer science, information hiding in software engineering, interval computing, fuzzy and rough set theories probability/possibility/belief measures in uncertainty mathematics, granularity in artificial intelligence, neutrosophic computing, quotient space theory, machine learning, databases, and many others. This special session will give a research forum in which researchers on cognitive computing, intelligent computing and granular computing can exchange their ideas.

Topics of interest include, but are not limited to:

1. Data Mining for Service
2. Web Intelligence
3. Intelligent Computing
4. Cognitive Informatics

Submissions:
All contributions should be original and not published elsewhere or intended to be published during the review period. To ensure high quality, all papers will be peer-reviewed. Electronic submissions only PDF files to Shusaku Tsumoto:

Important Dates:

	Paper Submission:		August 20, 2014
	Notification:		September 1, 2014
	Camera-ready Due:		September 15, 2014

SS5: Advanced Computational Intelligence Techniques

Download Call for Papers (PDF)

Session Organizer:

Hirosato Seki, Kwansei Gakuin University, Japan

Objectives and Scope:
Computational Intelligence (CI) is a multidisciplinary field that includes neural networks, fuzzy logic, and evolutionary computation. This field is playing an important role in many research areas and is a broad and active research area that is growing rapidly due to the many successful applications of these new techniques in very diverse problems. Many industries have benefited from adopting this technology. The aim of this Organized Session is to develop and clarify theory and applications of CI.

Topics of interest include, but are not limited to:

• Fuzzy Systems
• Neural Networks
• Approximate Reasoning
• Evolving Systems
• Multi-objective Approaches for CI
• Optimization
• Application to control, diagnosis, prediction, decision support, planning, etc.

Important Dates:

	Paper Submission:		August 25, 2014
	Notification of Acceptance:		September 4, 2014
	Final paper submission:		September 14, 2014

Submission Guideline:
The paper, submitted to this session, should be directly sent to Dr. Hirosato Seki () by August 25, 2014.

Chair and Contact:

	Hirosato Seki
	Kwansei Gakuen University, Japan
	Email:

Last update: August 16, 2014