Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, Global Edition, 11th edition

Published by Pearson (March 10, 2020) © 2020

  • Ramesh Sharda Oklahoma State University
  • Dursun Delen Oklahoma State University
  • Efraim Turban Oklahoma State University , University of Hawaii
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For courses in decision support systems, computerised decision-making tools, and management support systems

Analytics, 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 organisations that have employed analytics to make decisions. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus - analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

  • PART I: INTRODUCTION TO ANALYTICS AND AI
  • 1. An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence
  • 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
  • 3. Nature of Data, Statistical Modeling, and Visualization
  • PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING
  • 4. Data Mining Process, Methods, and Applications
  • 5. Machine learning Techniques for Predictive Analytics
  • 6. Deep Learning and Cognitive Computing
  • 7. Text Mining, Sentiment Analysis, and Social Analytics
  • PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
  • 8. Prescriptive Analytics with Optimization and Simulation
  • 9. Big Data, Location Analytics, and Cloud Computing
  • PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
  • 10. Robotics: Industrial and Consumer Applications
  • 11. Group Decision Making, Collaborative Systems, and AI Support
  • 12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors
  • 13. The Internet of Things As a Platform for Intelligent Applications
  • PART V: CAVEATS OF ANALYTICS AND AI
  • 14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts

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