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Table of Contents

1. Introduction
2. Characteristics of Real-Word Business Problems
• Number of Possible Solutions
• Time-Changing Environment
• Problem-Specific Constraints
• Multi-objective Problems
• Modeling the Problem
• A Real-World Example
3. An Extended Example: Car Distribution
• Basic Terminology
• Off-lease Cars
• The Problem
• Transportation
• Volume Effect
• Price Depreciation and Inventory
• Dynamic Market Changes
• The Solution
4. Adaptive Business Intelligence
• Data Mining
• Prediction
• Optimization
• Adaptability
• The Structure of an Adaptive Business Intelligence System

5. Prediction Methods and Models
• Data Preparation
• Different Prediction Methods
• Evaluation of Models
• Recommended Reading
6. Modern Optimization Techniques
• Overview
• Local Optimization Techniques
• Stochastic Hill Climber
• Simulated Annealing
• Tabu Search
• Evolutionary Algorithms
• Constraint Handling
• Additional Issues
• Recommended Reading
7. Fuzzy Logic
• Overview
• Fuzzyfier
• Inference System
• Defuzzyfier
• Tuning the Membership Functions and Rule Base
• Recommended Reading
8. Artificial Neural Networks
• Overview
• Node Input and Output
• Different Types of Networks
• Learning Methods
• Data Representation
• Recommended Reading
9. Other Methods and Techniques
• Genetic Programming
• Ant Systems and Swarm Intelligence
• Agent-Based Modeling
• Co-evolution
• Recommended Reading

10. Hybrid Systems and Adaptability
• Hybrid Systems for Prediction
• Hybrid Systems for Optimization
• Adaptability
11. Car Distribution System
• Overview
• Graphical User Interface
• Prediction Module
• Optimization Module
• Adaptability Module
• Validation
12. Applying Adaptive Business Intelligence
• Marketing Campaigns
• Manufacturing
• Investment Strategies
• Emergency Response Services
• Credit Card Fraud
13. Conclusions