Decision Support Systems and Intelligent Systems (7th Edition)

Description

Features

Features

• NEW – Fully updated to reflect the latest management support system technologies and techniques.

  • Teaches students techniques they will be able to utilize for many years to come.

• NEW – Improved knowledge management coverage.

  • Introduces students to breakthrough techniques for helping organizations capture more information and utilize it more effectively.

• NEW – DSS In Action boxes present real–world scenarios and applications.

  • Gives students deeper insight into how management and decision support technologies are actually used in real business environments.

• NEW – Coverage of the latest advances in expert systems, neural networking, data mining, and OLAP technologies.

  • Gives students a competitive advantage by showing them how to build systems far more intelligent than those now in widespread use.

• NEW – Increased focus on Web technologies: their use and their implications.

  • Helps students build management support systems that fully leverage the power of networked computer systems, cross organizational boundaries, and utilize information available via the Internet.

• Extensive supply chain and ERP coverage—Includes detailed coverage of decision support in supply chain and ERP applications.

  • Helps students address the crucial supply chain and logistics questions that enterprises are increasingly focusing on.

• —Comprehensive coverage of data warehousing—Covers data warehouse access, analysis, mining, visualization, modeling, and more.

  • Introduces students to state–of–the–art solutions for the entire data warehouse lifecycle.

• Comprehensive coverage of knowledge–based decision support—Covers knowledge acquisition and representation, inference techniques, and intelligent systems development.

  • Covers all the techniques students will need to build advanced knowledge–based decision support systems.

• —Organizational and societal impacts—Covers the organizational and societal implications of advanced decision support technology.

  • Helps students come to grips with the ethics, politics, and other non–technical issues associated with electronic decision support.

• Detailed coverage of implementation and integration.—Covers the real–world challenges of integrating new decision support tools into existing technical and business infrastructures.

  • Gives students real–world insight into the issues that will make or break their decision support projects.

New to this Edition

New To This Edition

• Fully updated to reflect the latest management support system technologies and techniques.

  • Teaches students techniques they will be able to utilize for many years to come.

• Improved knowledge management coverage.

  • Introduces students to breakthrough techniques for helping organizations capture more information and utilize it more effectively.

• DSS In Action boxes present real–world scenarios and applications.

  • Gives students deeper insight into how management and decision support technologies are actually used in real business environments.

• Coverage of the latest advances in expert systems, neural networking, data mining, and OLAP technologies.

  • Gives students a competitive advantage by showing them how to build systems far more intelligent than those now in widespread use.

• Increased focus on Web technologies: their use and their implications.

  • Helps students build management support systems that fully leverage the power of networked computer systems, cross organizational boundaries, and utilize information available via the Internet.

From the back cover:

Widely hailed for its contemporary, cutting–edge perspective, this comprehensive, reader–friendly text covers the latest decision support theories and practices used by managers and organizations. Current examples and cases are drawn from actual organizations and firms. Decision Making, Systems, Modeling, and Support. Data Warehousing, Access, Analysis, Mining, and Visualization. Modeling and Analysis. Decision Support System Development. Collaborative Computing Technologies: Group Support Systems. Enterprise Decision Support Systems. Knowledge Management. Artificial Intelligence and Expert Systems. Knowledge Acquisition and Validation. Knowledge Representation. Inference Techniques. Intelligent Systems Development. Neural Computing Applications, and Advanced Artificial Intelligent Systems and Applications. Intelligent Software Agents and Creativity. Implementing and Integrating Management Support Systems. Organizational and Societal Impacts of Management Support Systems. For managers interested in Decision Support Systems, Computerized Decision Making, and Management Support Systems. ––This text refers to an out of print or unavailable edition of this title.