Böcker av Dursun Delen

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. For courses in decision support systems, computerized decision-making tools, and management support systems.Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organizations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganization reflecting a new focus analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.Give students anytime, anywhere access with Pearson eTextPearson eText is a simple-to-use, mobile-optimized, personalized reading experience available within MyLab. It lets students highlight, take notes, and review key vocabulary all in one place even when offline. Pearson eText can also be adopted on its own as the main course material. Learn more about Pearson eText or contact your Pearson rep for purchase options.

In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for students. Using predictive analytics techniques, students can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. Delen's holistic approach covers all this, and more:Data mining processes, methods, and techniquesThe role and management of dataPredictive analytics tools and metricsTechniques for text and web mining, and for sentiment analysisIntegration with cutting-edge Big Data approachesThroughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors.

This book is written for both professionals who are interested in developing a holistic understanding about business analytics and especially about prescriptive analytics and college students, both at graduate and undergraduate levels, who are in need of a nicely balance book between theory and practice to explain prescriptive analytics as the top layer in business analytics continuum.• End-to-end, all-inclusive, holistic approach to prescriptive analytics—not only covering optimization and simulation, but also including multi-criteria decision-making methods along with inference- and heuristic-based decisioning techniques. • Enhanced with numerous conceptual illustrations, example problems and solutions, and motivational case and success stories. • Chapter 1 -- overview of business analytics, its longitudinal perspective and a simple taxonomy, and where prescriptive analytics fits into this big picture. • Chapter 2 -- introduces the topic of optimization and describes different types of optimization methods using simple yet practical examples and application cases. • Chapter 3 -- explains simulation, including Monte-Carlo simulation, discrete and continuous simulation, as a powerful tool to analyse complex systems to make better decisions. • Chapter 4 -- introduces multi-criteria decision making along with a simple taxonomy, and provides descriptions and examples of a variety of popular techniques used for multi-criteria problems commonly found in practice. • Chapter 5 -- about expert systems and case-based reasoning. • Chapter 6 -- introduces the latest techniques in analytics, namely Big Data, Deep Learning, and Cognitive Computing, as the leading edge for the next generation of automated decisioning and prescriptive analytics. Business analytics has been gaining popularity faster than any management trends we have seen in the recent history. As an attempt to unify the understanding of "what business analytics is,” the business community along with educational community have developed a simple taxonomy where they defined analytics using three progressive phases/echelons: descriptive/diagnostic analytics predictive analytics prescriptive analytics. This book is about prescriptive analytics, the highest echelon in the analytics continuum, and is the one closest to "making accurate and timely decisions.”