Decision support systems 2nd edition

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You have successfully signed out and will be required to sign back in should you need to download more resources. Out of print. Decision Support Systems, 2nd Edition. George M. Marakas, Indiana University. If You're an Educator Download instructor resources Additional order info. Overview Features Contents Order Overview. Description For a Decision Support System course offered in business schools.

NEW - Expanded material on data mining, warehousing, and visualization —Chapters provide the most complete coverage of these hot topics to be found in any DSS title. Brings the student up-to-date with the hottest topics in DSS. NEW - Complimentary and exclusive, a real-world commercial package of Megaputer's PolyAnalyst and TextAnalyst software is bundled with each book —Key end of chapter problems are solved are solved using real data sets accessed by the package.

Only DSS text to come packaged with gratis real-world software enabling students to actually experience data mining and visualization techniques. Provides the students with an actual Data Mining program to get real world experience. Gives students information on material they need to succeed in the DSS course. Gives students the coverage they need to succeed in the course. Comprehensive current and splendidly written text that avoids redundancies and is particularly suitable for a one term undergraduate course.

Students aren't inundated with repetitive material they do not need. New to This Edition. Expanded material on data mining, warehousing, and visualization —Chapters provide the most complete coverage of these hot topics to be found in any DSS title. Complimentary and exclusive, a real-world commercial package of Megaputer's PolyAnalyst and TextAnalyst software is bundled with each book —Key end of chapter problems are solved are solved using real data sets accessed by the package.

Expanded material on the Elusive Character of Creativity in Chapter Table of Contents 1. Previous editions. Virtual Experience 2. Timeliness 3. Sufficiency 3. Level of Detail 3. Understandability 3. Freedom from Bias 3. Decision Relevance 3. Comparability 3. Reliability 3. Redundancy 3. Cost Efficiency 3. Quantifiability 3. Appropriateness of Format 3.

More Is Never Better! Data Scrubbing 3. Data Adjustment 3. Architecture 3. Possible Criteria 3. Data Warehouse 3. Information Uses 3. Representation 4.

Time Dimension 4. Linearity of the Relationship 4. Deterministic Versus Stochastic 4. Descriptive Versus Normative 4. Causality Versus Correlation 4. Methodology Dimension 4. Intelligent Agents 4. Easy Access to Models 4. Understandability of Results 4. Integrating Models 4. Sensitivity of a Decision 4. Model Management Support Tools 4. Brainstorming and Alternative Generation 4. Flexibility Concerns 4. Evaluating Alternatives 4. Running External Models 4. Backward-Chaining Reasoning 4S.

Forward-Chaining Reasoning 4S. Comparison of Reasoning Processes 4S. Representing Uncertainty with Probability Theory 4S. Representing Uncertainty with Certainty Factors 4S. Action Language 5. Question—Answer Format. Command Language. Input—Output Structured Formats. Free-Form Natural Language. Display or Presentation Language 5.

Visual Design Issues. Perceived Ownership of Analyses. Graphs and Bias. Support for All Phases of Decision Making. Knowledge Base 5. Modes of Communication. Issues of Design 6. Data Privacy 6. Data Availability 6. Data Flow 6.

Designing a Specific DSS 7. Interviewing Techniques.