3rd International Symposium on Computational and Business Intelligence

Країна: Індонезія

Місто: Bali

Тези до: 10.08.2015

Дати: 07.12.15 — 08.12.15

Область наук: Економічні;

Е-мейл Оргкомітету: secretary@iscbi.com

Організатори: South Asia Institute of Science and Engineering (SAISE)


Welcome to the official website of the 2015 3rd International Symposium on Computational and Business Intelligence (ISCBI 2015). The Symposium will be held in Bali, Indonesia during December 7-9, 2015. The aim as well as objective of ISCBI 2015 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 2015 will yield significant contribution to the knowledge in the emerging areas of Computational & Business Intelligence.

ISCBI 2015 is organized by South Asia Institute of Science and Engineering (SAISE) and International Neural Network Society (INNS) India Regional Chapter and is the flagship event of INNS-India. After the immensely successful ISCBI14 & ISCBI13,  ISCBI 2015 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 2015.

The topics of ISCBI 2015 will cover all areas encompassing Computational and Business Intelligence. All papers will be reviewed by two or three experts from the IPC. After a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the conference Proceedings by Conference Publishing Services (CPS).


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
Ethics & social responsibility in marketing
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 modeling 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 optimisation algorithms
Memetic and hybrid algorithms
Multi-objective optimization
Molecular and quantum computing
Real-world applications
Representation and operators
elf-adaptation in evolutionary algorithms
Swarm Intelligence (e.g., ant colony, particle swarm, differential evolution, cultural algorithms)
Theory of evolutionary computation
Emerging areas

Веб-сторінка конференції: http://www.iscbi.com/

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