ss11:Biologically-Inspired Computing for Business Intelligence

Business Intelligence (BI) is a broad category of technologies for transforming data intomeaningful and actionable information that can be used to enable more effectivedecision-making. Typical BI applications include financial data analysis, marketing,segmentation, credit fraud detection, recommender systems, customer relationshipmanagement, retail sales analysis, and predictive analytics, just to name a few.Technologies based on Biologically-Inspired Computation (BIC) have shown strongpotential as key components for BI applications. The purpose of this special session isto bring together researchers and practitioners working with Biologically-InspiredComputing for Business Intelligence. Topics for submission include, but are not limitedto:

Techniques:
- Computational Intelligence
- Neural Networks
- Evolutionary and Genetic Algorithms
- Evolution Strategies
- Evolutionary and Genetic Programming
- Fuzzy systems
- Swarm Intelligence
- Ant Colony Optimization
- DNA Computing
- Artificial Immune Systems
- Simulated Annealing
- Tabu Search

Applications:
- Financial Modeling
- Financial Risk Analysis
- Bankruptcy Prediction
- Credit Fraud Detection
- Marketing
- Segmentation
- Recommender Systems
- Customer Relationship Management
- Retail Sales Analysis
- Forecasting
- Predictive Analytics
- Planning and scheduling
- Portfolio Selection and Optimization