Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (11版)

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

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

　　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 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.

作者簡介

Ramesh Sharda

　　任職：Oklahoma State University

Dursun Delen

　　任職：Oklahoma State University

Efraim Turban

　　現職：University of Hawaii

PART I: INTRODUCTION TO ANALYTICS AND AI
Ch 1 Overview of Business Intelligence, Analytics, Data Science, and Artificial Intelligence: Systems for Decision Support
Ch 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
Ch 3 Nature of Data, Statistical Modeling, and Visualization

PART II: PREDICTIVE ANALYTICS/MACHINE LEARNING
Ch 4 Data Mining Process, Methods, and Applications
Ch 5 Machine-Learning Techniques for Predictive Analytics
Ch 6 Deep Learning and Cognitive Computing
Ch 7 Text Mining, Sentiment Analysis, and Social Analytics

PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
Ch 8 Prescriptive Analytics: Optimization and Simulation
Ch 9 Big Data, Cloud Computing, and Location Analytics: Concepts and Tools

PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
Ch10 Robotics: Industrial and Consumer Applications
Ch11 Group Decision Making, Collaborative Systems, and AI Support
Ch12 Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors
Ch13 The Internet of Things As a Platform for Intelligent Applications

PART V: CAVEATS OF ANALYTICS AND AI
Ch14 Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts