
Decision Support and Business Intelligence Systems
Pearson (Publisher)
9th Edition
Published on 18. February 2010
Book
Hardback
720 pages
978-0-13-610729-3 (ISBN)
Article exhausted; check for reprint
Description
Decision Support and Business Intelligence Systems 9e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making.
The 9th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.
The 9th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.
More details
Edition
9th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 254 mm
Width: 203 mm
Weight
1410 gr
ISBN-13
978-0-13-610729-3 (9780136107293)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Ramesh Sharda | Dursun Delen | Efraim Turban
Business Intelligence and Analytics
Systems for Decision Support
Book
06/2014
10th Edition
Pearson
€281.65
Article exhausted; check different version
Previous edition

Efraim Turban | Jay E. Aronson | Ting-Peng Liang
Decision Support and Business Intelligence Systems
United States Edition
Book
01/2007
8th Edition
Pearson
€107.69
Article exhausted; check for reprint
Content
Part I: Decision Support and Business Intelligence
Chapter 1: Decision Support Systems and Business Intelligence
Part II: Computerized Decision Support
Chapter 2: Decision Making, Systems, Modeling, and Support
Chapter 3: Decision Support Systems Concepts, Methodologies, and Technologies: An Overview
Chapter 4: Modeling and Analysis
Part III: Business Intelligence
Chapter 5: Data Mining for Business Intelligence
Chapter 6: Artificial Neural Networks for Data Mining
Chapter 7: Text and Web Mining
Chapter 8: Data Warehousing
Chapter 9: Business Performance Management
Part IV: Collaboration, Communication, Group Support Systems, and Knowledge Management
Chapter 10: Collaborative Computer-Supported Technologies and Group Support Systems
Chapter 11: Knowledge Management
Part V: Intelligent Systems
Chapter 12: Artificial Intelligence and Expert Systems
Chapter 13: Advanced Intelligent Systems
Chapter 14: Management Support Systems: Emerging Trends and Impacts
Online Files:
Online File W2
W2.1: The MMS Running Case
Online File W3
W3.1: Databases
W3.2: Major Capabilities of the UIMS
Online File W4
W4.1: Influence Diagrams
W4.2: Linear Programming Optimization: The Blending Problem
W4.3: Lindo Example: The Product-Mix Model
W4.4: Lingo Example: The Product-Mix Model
W4.5: Links to Excel Files of Section 4.9
Online File W5
W5.1: CreditRisk.xlsx
W5.2: MovieTrain.xlsx
W5.3: MovieTest.xlsx
Online File W6
W6.1: The Forest CoverType Dataset
Online File W9
W9.1: Portfolio of Options
W9.2: Effective Performance Measurement
W9.3: Influence Problems with Dashboard Displays
Chapter 1: Decision Support Systems and Business Intelligence
Part II: Computerized Decision Support
Chapter 2: Decision Making, Systems, Modeling, and Support
Chapter 3: Decision Support Systems Concepts, Methodologies, and Technologies: An Overview
Chapter 4: Modeling and Analysis
Part III: Business Intelligence
Chapter 5: Data Mining for Business Intelligence
Chapter 6: Artificial Neural Networks for Data Mining
Chapter 7: Text and Web Mining
Chapter 8: Data Warehousing
Chapter 9: Business Performance Management
Part IV: Collaboration, Communication, Group Support Systems, and Knowledge Management
Chapter 10: Collaborative Computer-Supported Technologies and Group Support Systems
Chapter 11: Knowledge Management
Part V: Intelligent Systems
Chapter 12: Artificial Intelligence and Expert Systems
Chapter 13: Advanced Intelligent Systems
Chapter 14: Management Support Systems: Emerging Trends and Impacts
Online Files:
Online File W2
W2.1: The MMS Running Case
Online File W3
W3.1: Databases
W3.2: Major Capabilities of the UIMS
Online File W4
W4.1: Influence Diagrams
W4.2: Linear Programming Optimization: The Blending Problem
W4.3: Lindo Example: The Product-Mix Model
W4.4: Lingo Example: The Product-Mix Model
W4.5: Links to Excel Files of Section 4.9
Online File W5
W5.1: CreditRisk.xlsx
W5.2: MovieTrain.xlsx
W5.3: MovieTest.xlsx
Online File W6
W6.1: The Forest CoverType Dataset
Online File W9
W9.1: Portfolio of Options
W9.2: Effective Performance Measurement
W9.3: Influence Problems with Dashboard Displays