Computational Intelligence in Business Analytics: Concepts, Methods, and Tools for Big Data Applications

About

Features

How to apply state-of-the-art computational intelligence concepts and methods to drive more value from business analytics 

• Shows how to handle complexity and uncertainty through the use of artificial neural networks, genetic algorithms, and fuzzy systems
• Helps you model, discover, and interpret new patterns and new knowledge from historical evidence and large datasets
• Introduces practical techniques for building powerful prediction and classification models that don't rely on statistics
• Packed with up-to-the-minute case studies and global examples from marketing, finance, and beyond
• Covers segmentation, profiling, retention, cross-selling, credit score analysis, fraud detection, and more

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.

Sample Content

Sample Pages

Download the sample pages (includes Chapter 1 and Index)

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
Bibliography     115
Index     133

Updates

Submit Errata