Decision support and business intelligence systems / Efraim Turban (University of Hawaii), Ramesh Sharda (Oklahoma State University), Dursun Delen (Oklahoma State University); with contributions by Jay E. Aronson(The University of Georgia ), Ting-Peng Liang (National Sun Yat-sen University), David King (JDA Software Group, Inc ).
Material type:
TextPublisher: Boston : Prentice Hall, [2011]Copyright date: ©2011Edition: Ninth editionDescription: xxii, 696 pages : illustrations ; 26 cmContent type: - text
- unmediated
- volume
- 9780132453233
- 0132453231
- Decision support and business intelligence systems.
- 658.4030285 22 T.E.D
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Course reserves | |
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Main library B6 | Commerce and business administration ( Management Information Systems ) | 658.4030285 T.E.D (Browse shelf(Opens below)) | Available | 00006970 | ||||
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Main library B6 | Commerce and business administration ( Management Information Systems ) | 658.4030285 T.E.D (Browse shelf(Opens below)) | 2 | Available | 00016589 |
Rev. edition of: Decision support and business intelligence systems / Efraim Turban ... [and others]. 8th edition c2007.
Includes bibliographical references and index.
Part I: Decision Support and Business IntelligenceChapter 1: Decision Support Systems and Business IntelligencePart II: Computerized Decision SupportChapter 2: Decision Making, Systems, Modeling, and SupportChapter 3: Decision Support Systems Concepts, Methodologies, and Technologies: An OverviewChapter 4: Modeling and AnalysisPart III: Business IntelligenceChapter 5: Data Mining for Business IntelligenceChapter 6: Artificial Neural Networks for Data MiningChapter 7: Data WarehousingChapter 8: Business Performance ManagementPart IV: Collaboration, Communication, Group Support Systems, and Knowledge ManagementChapter 9: Collaborative Computer-Supported Technologies and Group Support SystemsChapter 10: Knowledge ManagementPart V: Intelligent SystemsChapter 11: Artificial Intelligence and Expert SystemsChapter 12: Advanced Intelligent SystemsChapter 13: Management Support Systems: Emerging Trends and ImpactsOnline Files:Online File W2W2.1: The MMS Running CaseOnline File W3 W3.1: Databases W3.2: Major Capabilities of the UIMSOnline 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 4.9Online File W5 W5.1: CreditRisk.xlsx W5.2: MovieTrain.xlsx W5.3: MovieTest.xlsxOnline File W6 W6.1: The Forest CoverType DatasetOnline File W9 W9.1: Portfolio of OptionsW9.2: Effective Performance MeasurementW9.3: Influence Problems with Dashboard Displays
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