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

Published by Pearson (September 15, 2020) © 2021

  • Ramesh Sharda Oklahoma State University
  • Dursun Delen Oklahoma State University
  • Efraim Turban Oklahoma State University , University of Hawaii
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  • A print edition

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Products list
$261.32

Price Reduced From: $326.65

Details

  • A print edition

This product is expected to ship within 3-6 business days for US and 5-10 business days for Canadian customers.

Products list
$261.32

Price Reduced From: $326.65

Details

  • A print edition

This product is expected to ship within 3-6 business days for US and 5-10 business days for Canadian customers.

Title overview

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is your comprehensive introduction to technologies collectively called analytics (or business analytics). Guided by this market-leading text, you'll learn the fundamental methods, techniques, and software used to design and develop these systems. You'll benefit from real-world examples, provided throughout, of organizations that have employed analytics to make sound business decisions. Supporting materials, such as software tutorials, are also provided through a companion website.

With 6 new chapters, the 11th Edition marks a major reorganization reflecting a new focus on analytics and its enabling technologies. These technologies, all of which receive updated coverage in this edition, include AI, machine-learning, robotics, chatbots, and IoT.

Table of contents

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

  1. Data Mining Process, Methods, and Applications
  2. Machine learning Techniques for Predictive Analytics
  3. Deep Learning and Cognitive Computing
  4. Text Mining, Sentiment Analysis, and Social Analytics

PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA

  1. Prescriptive Analytics with Optimization and Simulation
  2. Big Data, Location Analytics, and Cloud Computing

PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT

  1. Robotics: Industrial and Consumer Applications
  2. Group Decision Making, Collaborative Systems, and AI Support
  3. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors
  4. The Internet of Things As a Platform for Intelligent Applications

PART V: CAVEATS OF ANALYTICS AND AI

  1. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts

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