Business Intelligence and Analytics: Systems for Decision Support (GE)(第十版)

　　The 10th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book. In addition to traditional decision support applications, this edition expands the reader’s understanding of the various types of analytics by providing examples, products, services, and exercises by discussing Web-related issues throughout the text.

　　New To This Edition

　　1.New Organization. The book is now organized around three types of analytics: descriptive, predictive, and prescriptive, a classification promoted by INFORMS.

　　2.New chapters. The following chapters have been added:

　　‧Chapter 8, “Web Analytics, Web Mining & Social Analytics” covers the popular topics of web analytics and social media analytics. It is an almost entirely new chapter. [95% new material]

　　‧Chapter 13, “Big Data & Analytics” introduces the hot topics of big data and analytics. It covers the basics of major components of big data techniques and characteristics. It is also a new chapter. [99% new material]

　　‧Chapter 14, “Business Analytics: Emerging Trends and Future Direction” examines several new phenomena that are already changing or are likely to change analytics.

作者簡介

Efraim Turban

　　任職：University of Hawaii

Ramesh Sharda

　　任職：Oklahoma State University

Dursun Delen

　　任職：Oklahoma State University

PART I: DECISION MAKING AND ANALYTICS: AN OVERVIEW
Ch 1 An Overview of Business Intelligence, Analytics, and Decision Support
Ch 2 Foundations and Technologies for decision Making

PART II: DESCRIPTIVE ANALYTICS
Ch 3 Data Warehousing
Ch 4 Business Reporting, Visual Analytics and Business Performance Management

PART III: PREDICTIVE ANALYTICS
Ch 5 Data Mining
Ch 6 Techniques for Predictive Modeling
Ch 7 Text Analytics, Text Mining, and Sentiment Analytics
Ch 8 Web Analytics, Web Mining, and Social Analytics

PART IV: PRESCRIPTIVE ANALYTICS
Ch 9 Model-Based Decision Making: Optimization and Multi-Criteria System
Ch10 Modeling and Analysis: Heuristic Search Methods and Simulation
Ch11 Automated Decision Systems and Expert Systems
Ch12 Knowledge Management and Collaborative Systems

Part V: BIG DATA AND FUTURE DIRECTIONS FOR BUSINESS ANALYTICS
Ch13 Big Data and Analytics
Ch14 Business Analytics: Emerging Trends and Future Impacts