Handbook on Decision Support Systems 1: Basic ThemesFrada Burstein, Clyde W. Holsapple Springer Science & Business Media, 2008. gada 22. janv. - 854 lappuses Decision support systems have experienced a marked increase in attention and importance over the past 25 years. The aim of this book is to survey the decision support system (DSS) field covering both developed territory and emergent frontiers. It will give the reader a clear understanding of fundamental DSS concepts, methods, technologies, trends, and issues. It will serve as a basic reference work for DSS research, practice, and instruction. To achieve these goals, the book has been designed according to a ten-part structure, divided in two volumes with chapters authored by well-known, well-versed scholars and practitioners from the DSS community. |
No grāmatas satura
1.5. rezultāts no 82.
... intelligence to give DSSs behaviors that would be deemed as intelligent if observed in humans. In Part IV, we investigate several classes of such systems. One of these is comprised of systems that give advice to decision makers. They ...
... intelligence often utilizing data warehouse and online analytical processing techniques to find and solve problems involved in making decisions on behalf of the enterprise. Reaching beyond the enterprise boundary, we also scrutinize ...
... Frédéric Adam and Jean-Charles Pomerol CHAPTER 45 Business Intelligence............................................................................... 175 Solomon Negash and Paul Gray CHAPTER 46 Competitive Intelligence Systems.........
... CHAPTER 56 Financial DSS: Systems for Supporting Investment Decisions............... 419 Bruce W. Weber CHAPTER 57 Flying High with Real-Time Business Intelligence ................................ 443 Table of Contents XXVII.
... intelligence, data warehousing, and IT governance. Professor Arnott is author of over 60 scientific articles dealing with decision support, including papers in such journals as Decision Support Systems, European Journal of Information ...
Saturs
Systems for Supporting Marketing Decisions | 395 |
The Nature of Organizational Decision Support Systems | 415 |
CHAPTER 44 | 430 |
CHAPTER 22 | 433 |
Developing Practical Decision Support Tools Using Dashboards | 454 |
CHAPTER 23 | 469 |
Decision Support Systems in Forest Management | 499 |
CHAPTER 24 | 511 |
CHAPTER 8 | 141 |
CHAPTER 9 | 163 |
VARIATIONS | 170 |
Integrated Document Management for Decision Support 191 | 190 |
CHAPTER 11 | 207 |
CHAPTER 12 | 231 |
CHAPTER 13 | 259 |
SpreadsheetBased Decision Support Systems | 277 |
CHAPTER 15 | 299 |
WebBased Decision Support | 315 |
CHAPTER 17 | 341 |
Predicting Facilitating and Managing Knowledge Evolution | 345 |
A Motivational Model of Knowledge Sharing | 355 |
CHAPTER 19 | 371 |
Artificial Neural Networks in Decision Support Systems | 557 |
DSS Experience in Africa Cases from Egypt | 559 |
Data Mining and Data Fusion for Enhanced Decision Support | 581 |
CHAPTER 56 | 603 |
CHAPTER 28 | 609 |
Decision Support Based on Process Mining 637 | 636 |
Towards Decision Support for Participatory Democracy | 651 |
CHAPTER 30 | 659 |
CHAPTER 31 | 697 |
DECISION SUPPORT | 718 |
CHAPTER 34 | 763 |
Systems for Strategic Learning 759 | 829 |
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Handbook on Decision Support Systems 1: Basic Themes Frada Burstein,Clyde W Holsapple Priekšskatījums nav pieejams - 2016 |