Computational Intelligence in Business Analytics: Concepts, Methods, and Tools for Big Data Applications - Les Sztandera
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Présentation Computational Intelligence In Business Analytics: Concepts, Methods, And Tools For Big Data Applications de Les...
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Résumé : Using computational intelligence methods, you can drive far more value from business analytics, and account far more effectively for the real-world uncertainties and complexities you face in making key decisions. Whether you're a professional or a student, this up-to-date, accessible reference will teach you the computational intelligence concepts and methods you need to fully leverage these powerful techniques. 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. To demonstrate these techniques at work, Computational Intelligence in Business Analytics is packed with relevant case studies and examples, including: 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.
Biographie:
LES SZTANDERA (Philadelphia, PA) is Professor of Computer Information Systems in the School of Business Administration at Philadelphia University's Kanbar College of Design, Engineering, and Commerce. He currently teaches in the iMBA program courses in Technical Competitive Intelligence and New Product Development, and is involved in several multidisciplinary industry sponsored research projects. His research interests include knowledge management and computational intelligence. His research has been funded by the US Departments of Defense and Commerce, NSF, State Supercomputer Centers, and the American Heart Association, among others. He received the highest, most prestigious appointment in the US Fulbright Scholars program in 2003, and was Fulbright Distinguished Chair at the School of Business and Economics (ISEG) in Lisbon, Portugal, where he taught in both MBA and Ph.D. programs.
Sommaire:
1. Overview 2. Computational Intelligence Foundations 3. Computational Intelligence versus Statistical Approaches 4. Computational Intelligence at work 5. Future of Computational Intelligence Master powerful computational intelligence techniques for driving more value from business analytics.
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