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

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.

“Drawing on his experience as a professor and pioneering researcher, Dr. Les Sztandera thoroughly illuminates today’s key computational intelligence tools, knowledge, and strategies for analysis, exploration, and knowledge generation. In his book, Dr. 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.”
–Paul Wang, Ph.D., Professor Emeritus of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, USA

 

“Business analytics is one of the hottest areas of business right now, and the book that Dr. Sztandera has written is a must-read for anyone interested in learning how to apply these concepts. Dr. Sztandera has produced an easy-to-read and practical book that covers the essentials of analytics and its applications.”
–Robert L. Nydick, Ph.D., Professor of Management and Operations, Villanova University, USA

 

Apply Advanced Computational Intelligence to Drive More Value from Business Analytics

• Manage uncertainty via neural networks, genetic algorithms, and fuzzy systems
• Build powerful prediction and classification models
• Improve profiling, cross-selling, credit score analysis, and fraud detection
• Contains new case studies and examples from across the enterprise

Using computational intelligence, you can gain more value from business analytics, successfully account for uncertainty and complexity, and make far better decisions. This guide thoroughly illuminates today’s key computational intelligence concepts, tools, knowledge, and strategies and shows how to apply them in the real world.

 

Sztandera shows how computational intelligence can help you design and integrate more effective enterprise services, architectures, brand identities, and product portfolios. You’ll also learn how to complement these methods with visualization and explorative interfaces–so your entire organization can take full advantage of them.

This guide will help you harness computational intelligence methods to improve decision-making, promote innovation, and achieve competitive advantage. You will learn how to apply fuzzy sets, artificial neural networks, and genetic algorithms to unearth actionable new knowledge from historical evidence and large datasets–knowledge that often cannot be discovered any other way.

 

No previous experience with computational intelligence is required. Dr. Les Sztandera covers all facets of analysis, exploration, and knowledge generation.

 

Sztandera introduces a wide spectrum of applications, from marketing to fraud prevention to portfolio optimization. Throughout, hands-on exercises promote deeper understanding and prepare you to create effective models of your own.

 

Computational Intelligence in Business Analytics will be valuable for all decision-makers seeking to gain more value from analytics and for all students of analytics in MBA, MS, or advanced undergraduate programs.

 

Cutting-edge case studies and examples cover:

• Improved customer segmentation
• Customer profiling for relationship management
• Optimized mailing campaigns
• Increased customer retention
• Identification of new cross-selling opportunities
• Better credit score analysis
• Detection of fraudulent behavior and transactions
• New hedge fund strategies