Use computational intelligence to drive more value from business analytics, overcome real-world uncertainties and complexities, and make better decisions. Drawing on his pioneering experience as an instructor and researcher, Dr. Les Sztandera thoroughly illuminates today's key computational intelligence tools, knowledge, and strategies for analysis, exploration, and knowledge generation. Sztandera demystifies artificial neural networks, genetic algorithms, and fuzzy systems, and guides you through using them to model, discover, and interpret new patterns that can't be found through statistical methods alone. Packed with relevant case studies and examples, this guide demonstrates:
- Customer segmentation for direct marketing
- Customer profiling for relationship management
- Efficient mailing campaigns
- Customer retention
- Identification of cross-selling opportunities
- Credit score analysis
- Detection of fraudulent behavior and transactions
- Hedge fund strategies, and more
Szandera shows how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. He also shows how to complement computational intelligence with visualization, explorative interfaces and advanced reporting, thereby empowering business users and enterprise stakeholders to take full advantage of it. For analytics professionals, managers, and students.
Table of Contents
Chapter 1 Overview 1
Chapter 2 Computational Intelligence Foundations 13
Chapter 3 Computational Intelligence Versus Statistical Approaches 47
Chapter 4 Computational Intelligence at Work 55
Chapter 5 Future of Computational Intelligence 107
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