Book description
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
- About This eBook
- Title Page
- Copyright Page
- Dedication Page
- Contents
- Foreword
- Acknowledgments
- About the Author
- 1. Overview
- 2. Computational Intelligence Foundations
- 3. Computational Intelligence Versus Statistical Approaches
- 4. Computational Intelligence at Work
- 5. Future of Computational Intelligence
- Bibliography
- Index
Product information
- Title: Computational Intelligence in Business Analytics: Concepts, Methods, and Tools for Big Data Applications
- Author(s):
- Release date: May 2014
- Publisher(s): Pearson
- ISBN: 9780133552140
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