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
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