Titlebook: Handbook on Decision Support Systems 1; Basic Themes Frada Burstein,Clyde Holsapple Book 2008 Springer-Verlag Berlin Heidelberg 2008 Motiva

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Databases and Data Warehouses for Decision Supportinds of databases, despite generally using the same relational database technologies as other systems. This chapter provides an overview of the purpose and design requirements of data warehouses, including approaches to data modeling and structuring of the technical architecture, as well as current trends and practices in the field.

尽忠

Model Management and Solvers for Decision Supportration, selection, and implementation. It also reviews various kinds of solvers commonly available for decision support and the growing importance of Web Services technologies for delivering model/solver management capabilities.

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Online Analytical Processing (OLAP) for Decision Supportns and platforms are presented, the connection between the OLAP systems and analytical data repositories is covered. Then, an overview of functionalities that are common for all OLAP tools is presented.

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Web-Based Decision Supportolved in developing and deploying WBDSSs. We then review research investigating WB-DSSs by discussing WB-DSS research perspectives, relevant theories in evaluating WB-DSSs, and candidate variables and constructs for measuring the performance and success of WB-DSSs.

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迁移

The Decision-Making Process in a Complex Situationand power laws. Mechanisms for influencing complex situations include structural adaptation, boundary management, absorption, optimum complexity, simplification, sense and respond, amplification, and seeding. The challenge becomes the ability to integrate logical processes and intuition…

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