Front Cover -- Business Modeling and Data Mining -- Copyright Page -- Contents -- Preface -- Part I: A Map of the Territory -- Chapter 1. The World, Knowledge, and Models -- 1.1 The Nature of the World -- 1.2 Systems -- 1.3 The Structure of Knowledge -- 1.4 Changing Knowledge Structures -- 1.5 Summary -- Supplemental Material -- Chapter 2. Translating Experience -- 2.1 Mining and Ideas -- 2.2 Systems of the World -- 2.3 Strategies and Tactics -- 2.4 Summary -- Chapter 3. Modeling and Mining: Putting It Together -- 3.1 Problems -- 3.2 Data about the World -- 3.3 Hypotheses: Explaining Data -- 3.4 Making Decisions -- 3.5 Deciding -- 3.6 Summary -- Part II: Business Modeling -- Chapter 4. What Is a Model? -- 4.1 Introduction to Data, Information, and Knowledge -- 4.2 An Observer's Guide to Models -- 4.3 Modeling as an Activity -- 4.4 Summary -- Chapter 5. Framing Business Models -- 5.1 Setting a Frame -- 5.2 Objectives: Getting your Bearings -- 5.3 Problems and Decisions -- 5.4 Modeling Situations: Connecting the Decision to a Worldview -- 5.5 Options: Assessing the Possible -- 5.6 Expectations: Assessing the Future -- 5.7 Final Alignment -- 5.8 Mapping the Problem Frame -- 5.9 Summary -- 5.10 Explanation of the Decision Map -- 5.11 Risk Calculations -- Chapter 6. Getting the Right Model -- 6.1 Interactive Exploration of the Territory -- 6.2 Modeling the Business Situation Using Metaphors -- 6.3 Exploration Tools -- 6.4 The Business Case -- 6.5 The Reality: "What Can You Do with My Data?" -- 6.6 Summary -- Chapter 7. Getting the Model Right -- 7.1 Finding Data to Mine -- 7.2 Using Data -- 7.3 Summary -- Chapter 8. Deploying the Model -- 8.1 Modifying Business Processes -- 8.2 Motivation for Success -- 8.3 Impad of Model Types -- 8.4 Summary -- Part III: Data Mining -- Chapter 9. Getting Started -- 9.1 Looking at Data.

9.2 First Steps in Preparation: The Assay -- 9.3 Basic Feature Extraction -- 9.4 Surveying Data -- 9.5 Summary -- Chapter 10. What Mining Tools Do -- 10.1 Data Mining Algorithms -- 10.2 Tools and Toolsets -- 10.3 Summary -- Chapter 11. Getting the Initial Model: Basic Practices of Data Mining -- 11.1 Preparing to Stay Honest -- 11.2 Addressing the Data -- 11.3 Modeling to Understand -- 11.4 Modeling to Classify -- 11.5 Modeling to Predict -- 11.6 Summary -- Supplemental Material -- Chapter 12. Improving the Mined Model -- 12.1 Learning from Errors -- 12.2 Improving Model Quality, Solving Problems -- 12.3 Summary -- Chapter 13. Deploying the Mined Model -- 13.1 Deploying Explanatory Models -- 13.2 Novelty, and Keeping the Model Working -- 13.3 Deployed Model Form -- 13.4 Summary -- Part IV: Methodology -- Chapter 14. Methodology -- 14.1 Structure of the Methodologies -- 14.2 Using the Methodology -- 14.3 Caveats! -- MII Modeling Methodology -- MIII Mining Methodology -- Resources -- Index.