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Call for Papers

2016 4th International Symposium on Computational and Business 
Intelligence (ISCBI 2016)

Olten, Switzerland, September 5-7, 2016

  Website: http://iscbi.com/index.html

  The 2016 4th International Symposium on Computational and Business 
Intelligence (ISCBI 2016)will be held in Olten, Switzerland during 
September 5-7, 2016. The aim as well as objective of ISCBI 2016 is to 
present the latest research and results of scientists working in the 
fields related to Computational and Business Intelligence. This 
Symposium provides opportunities for the delegates to exchange new ideas 
and application through face-to-face discussions, to establish business 
or research relations and to find global partners for future 
collaborations. We hope that the outcome of ISCBI 2016 will yield 
significant contribution to the knowledge in the emerging areas of 
Computational & Business Intelligence.

ISCBI 2016 is organized by International Neural Network Society (INNS) 
India Regional Chapter, in association with University of Applied 
Sciences and Arts Northwestern Switzerland, Switzerland and is the 
flagship event of INNS-India. After the immensely successful ISCBI2015, 
ISCBI14 & ISCBI13, ISCBI 2016 is expected to be more exciting, 
stimulating & educative. The intention is to establish an effective 
platform for institutions and industries to share ideas and to present 
the works of scientists, engineers, educators and students across the 
globe.

The organizing committee of Symposium is pleased to invite prospective 
authors to submit their original manuscripts for possible presentation 
at ISCBI 2016 before June 10, 2016 . The submitted paper can be in MS 
WORD format or PDF format. Further information can be found here: 
http://iscbi.com/submission.html

All submissions will be peer reviewed, and all the accepted papers will 
be published in the ISCBI 2016 conference Proceedings, and reviewed by 
the IEEE Conference Publication Program for IEEE Xplore and EiCompendex. 
Around 4-5 registered & presented papers with extension will be 
published in Intl. Journal of Bio-Inspired Computation (ISSN online: 
1758-0374, ISSN print: 1758-0366), which is indexed by the SCIE (2014 
Impact Factor : 3.969, 5-Year Impact Factor: 2.778).

  Around 10 registered papers with extension will be recommended to be 
published in China Communications (ISSN: 1673-5447; CN: 11-5439/TN), 
which is indexed by the SCIE (Science Citation Index-Expanded index 
since January 2007 and Scopus database since January 2009. Recommended 
papers should add at least 30% contents and will be reviewed by China 
Communications.

Submission Deadline June 10, 2016

Notification Date July 10, 2016

Registration Deadline July 25, 2016

Conference Dates September 5-7, 2016



Topics

The topics are included below, but not limited to:

  1. Business 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

·        Case studies in business intelligence

·        Data mining methodologies for business intelligence

·        Business intelligence architectures

·        Knowledge management and business intelligence

·        Using business intelligence for security analysis and fraud 
detection

·        Decision making for business intelligence

·        Statistical methods for business intelligence

  2. Computational Intelligence

  2.1 Neural Networks and Neural Information Processing

·        Associative memories

·        Computational neuroscience

·        Connectionist theory and cognitive science

·        Mathematical modelling of neural systems

·        Neurodynamic optimization and adaptive dynamic programming

·        Principal and independent component analysis

·        Hybrid intelligent systems

·        Supervised, unsupervised and reinforcement learning

·        Brain computer interface

·        Neuroinformatics and bioinformatics

·        Support vector machines and kernel methods

·        Autonomous mental development

·        Data mining

·        Image  processing

·        Computer vision & pattern recognition

·        Time series analysis

·        Robotic and control applications

·        Fraud detection

·        Hardware implementation

·        Real-world applications

·        Emerging areas

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

·        Fuzzy systems architectures and hardware

·        Fuzzy image processing & pattern recognition

·        Fuzzy control and systems

·        Fuzzy data mining and forecasting

·        Real-world applications

·        Emerging areas

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

·        Cuckoo search

·        Differential evolution

·        Estimation of distribution algorithms

·        Evolutionary computation for bioinformatics

·        Evolutionary computation in dynamic and uncertain environments

·        Evolutionary computer vision

·        Evolutionary data mining

·        Evolutionary intelligent agents

·        Evolutionary learning systems

·        Evolutionary robotics

·        Evolutionary techniques in economics, finance and marketing

·        Evolvable hardware and software

·        Evolved art and music

·        Evolving neural networks and fuzzy systems

·        Hybrid optimization algorithms

·        Memetic and hybrid algorithms

·        Multi-objective optimization

·        Molecular and quantum computing

·        Real-world applications

·        Representation and operators

·        Self-adaptation in evolutionary algorithms

·        Swarm Intelligence (e.g., ant colony, particle swarm, 
differential evolution, cultural algorithms)

·        Theory of evolutionary computation

·        Emerging areas





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