Les Sztandera, Ph.D., professor of computer information systems, has published a new book designed to provide readers with the business analytics tools needed to arrive at innovative solutions in today’s competition business environment.
“Computational Intelligence in Business Analytics: Concepts, Methods and Tools for Big Data Applications” illuminates today’s key computational intelligence strategies and shows through case studies how to apply them in the real world.
“My motivation in writing the book was to help students, and down the road their businesses, gain a competitive edge in the marketplace by harnessing the power of computational intelligence approaches such as artificial neural networks, genetic algorithms and fuzzy systems,” Sztandera said.
“Computational Intelligence in Business Analytics” is a valuable resource for decision-makers of all levels of business analytics experience. The text demonstrates methods to detect fraudulent behaviors, identify cross-selling opportunities and enhance direct marketing using customer segmentation.
Sztandera, who joined the University in 1993, said he drew on his teaching and curricula development experiences here for content inspiration. “Our students are among the most innovative, creative and insightful I have ever encountered,” he said. “Many of those experiences are reflected in my book.”
“Computational Intelligence in Business Analytics” is available on Amazon and in the University bookstore.