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

Published by Pearson (10 March 2020) © 2020

  • Ramesh Sharda Oklahoma State University
  • Dursun Delen Oklahoma State University
  • Efraim Turban Oklahoma State University , University of Hawaii
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Products list
£45.99
Instant access

Access details

  • Instant access once purchased
  • Fulfilled by VitalSource
  • For titles accompanied by MyLab/Mastering, this eBook does NOT include access to the platform

Features

  • Add notes and highlights
  • Search by keyword or page

Title overview

For courses in decision support systems, computerised decision-making tools, and management support systems.

Market-leading guide to modern analytics, for better business decisions

Analytics, Data Science and 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.

Table of contents

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

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