2013 International Symposium on Computational and Business Intelligence (ISCBI 2013)

Event Dates

Aug 24, 2013 - Aug 26, 2013

Location

New Delhi, India

Submission Deadline

Apr 30, 2013

2013 International Symposium on Computational and Business Intelligence (ISCBI 2013)

New Delhi, India August 24-26, 2013

http://www.iscbi.com/

Topics:

1. Bussiness Intelligence

Analysis of business intelligence applications and analytics

Productive practices in business intelligence

Business intelligence and CRM

Business intelligence and market basket analysis

Strategic Marketing & Planning,

Supply Chain Management

Ethics & Social Responsibility in Marketing

Case studies in business intelligence

Data mining methodologies for business intelligence

2. Computational Intelligence

2.1 Neural Networks and neural information processing

Associative memories

Computational neuroscience

Connectionist theory and cognitive science

Mathematical modeling of neural systems

Neurodynamic optimization and adaptive dynamic programming

Principal and independent component analysis

Hybrid intelligent systems

Supervised, unsupervised and reinforcement learning

2.2 Fuzzy Systems

Fuzzy information processing

Fuzzy decision making

Fuzzy logic and fuzzy set theory

Fuzzy hybrids

Fuzzy and rough data analysis

Fuzzy optimization and design

Fuzzy systems modeling and identification

Fuzzy mathematics

2.3 Evolutionary Computation

Ant colony optimization

Artificial immune systems

Artificial ecology

Artificial life

Autonomous mental and behaviour development

Bioinformatics and bioengineering

Classifier systems

Coevolution and collective behaviour

Cognitive systems and applications

Combinatorial and numerical optimization

Constraint and uncertainty handling

All accepted papers will be published in the conference Proceedings by IEEE Computer Society CPS, and be submitted to IEEE Xplore and the IEEE Computer Society Digital Library (CSDL), and will be included within Elsevier’s Ei Compendex database.

Submission Method:

1. Email: secretary@iscbi.com

2. EDAS Submission System: http://edas.info/N14393

Contact Us

Prof. Arshad Usmani

Email: support@iscbi.com,Tel: + 91 9431721114

Chhattarpur Hills, Mehrauli, New Delhi – 110074