Call for Papers

We invite submissions of original research papers for the International Symposium on Computational and Business Intelligence. The conference aims to bring together researchers and practitioners from academia and industry to share their latest research, ideas, and developments in the fields of Computational & Business Intelligence.

1. Business Intelligence 

Analysis of business intelligence applications and analytics
Applications in business intelligence
Business intelligence and CRM
Business intelligence and market analysis and marketing
Business intelligence in logistics and supply chain management
Data mining
Autonomous agents and multi-agent systems 
Case studies in business intelligence
Data mining methodologies for business intelligence
Business intelligence architectures
Knowledge management and business intelligence
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 component analysis and related methods
Hybrid intelligent systems
Supervised, unsupervised and reinforcement learning
Brain computer interface
Neuroinformatics and bioinformatics
Support vector machines and kernel methods
Image processing
Computer vision & pattern recognition
Time series analysis
Robotic and control applications
Fraud detection
Hardware implementation
Real-world applications
Emerging areas in neural networks 

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 in fuzzy systems 

2.3 Evolutionary Computation 

Ant colony optimization
Artificial immune systems
Artificial life
Bioinformatics and bioengineering
Classifier systems
Coevolution and collective behaviour
Cognitive systems and applications
Evolutionary combinatorial and numerical optimization
Constraints and uncertainty handling
Cultural algorithms
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
Evolutionary multi-objective optimization
Molecular and quantum computing
Particle swarm optimization
Real-world applications
Representation and operators
Self-adaptation in evolutionary algorithms
Swarm Intelligence
Theory of evolutionary computation
Emerging areas in evolutionary computation