Computational Intelligence In Business Analytics
Concepts, Methods, And Tools For Big Data Applications
“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
|Titel:||Computational Intelligence In Business Analytics|
|auteur:||Sztandera, Les M.|
|Uitgever:||Pearson Education (us)|
|Plaats van publicatie:||01|
|Afmetingen:||229 x 152|
Dr. Les Sztandera is Professor of Computer Information Systems in the School of Business Administration at Philadelphia University Kanbar College of Design, Engineering and Commerce. His research interests include data analytics and computational intelligence. He received his Doctor of Philosophy degree from the University of Toledo, Ohio, and his Master of Science from the University of Missouri. Dr. Sztandera has taught undergraduate and master’s level courses as well as doctoral seminars in computational intelligence for more than 20 years. He was a recipient of the highest and the most prestigious appointment in the U.S. Fulbright Scholars program in 2003, and served as Fulbright Distinguished Chair at the School of Business and Economics (ISEG) in Lisbon, Portugal, teaching in the MBA and Ph.D. programs there.
Currently, Dr. Sztandera is teaching innovation MBA program courses in Technical Competitive Intelligence and New Product Development, as well as being involved in multidisciplinary industrysponsored research projects as part of the new curriculum that draws on Philadelphia University’s rich history in innovation and design, and long tradition of excellence in teaching and researching integrated product development. The curriculum meets the emerging needs of industry to educate managers, industrial designers, and engineers into more accomplished practitioners in the global product development processes.
Dr. Sztandera draws on his experience in the design and delivery of innovative curricula to facilitate crafting of cross-disciplinary projects. His cross-disciplinary work in encouraging the inclusion of computational intelligence principles and competences in undergraduate education led to the National Science Foundation grant award for Philadelphia University through the Division of Undergraduate Education in 1996. Since joining Philadelphia University in 1993, Dr. Sztandera has been involved in a number of course and curricula developments. He proposed a sequence of courses coupled with laboratory assignments in which students worked on real-life problems. In 2004 he was instrumental in developing a Business Plus program for entering freshmen.
Complementary with his teaching effort, Dr. Sztandera has been involved in a variety of research activities in the field of computational intelligence. His research was funded by the U.S. Department of Defense, U.S. Department of Commerce, National Science Foundation, State Supercomputer Centers, and the American Heart Association, among others. Dr. Sztandera is an eminent scholar, and has a significant publication and teaching record. He has delivered papers, seminars, and workshops, and has published extensively on computational intelligence issues, as well as served as a Chair of International Conferences in the field.
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