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University of Illinois at Chicago

College of Business Administration
Department of Information & Decision Sciences 

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IDS 472:  Statistics for IS and Data Mining ("SISDM")

Instructor:  Prof. Stanley L. Sclove
Textbook:  Weiss & Indurkhya, Predictive Data Mining (PDM)

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Notes on PDM Ch. 7:  Art or Science? Case Studies in Data Mining

These notes Copyright © 1999 Stanley Louis Sclove

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7.   Art or Science? Case Studies in Data Mining

Brief Outline

• 7.1. Why These Case Studies?
• 7.2. A Summary of Tasks for Predictive Data Mining
• 7.3. The Case Studies
• 7.4. Looking Ahead
• 7.4. Bibliographic and Historical Remarks

Detailed Outline

7.1. Why These Case Studies?
7.2. A Summary of Tasks for Predictive Data Mining
7.2.1.  A Checklist for Data Preparation
7.2.2.  A Checklist for Data Reduction
7.2.3.  A Checklist for Data Modeling and Prediction

7.2.4. A Checklist for Case and Solution Analyses
7.3.  The Case Studies

7.3.1.  Transaction Processing

7.3.2. Text Mining

7.3.3. Outcomes Analysis

7.3.4. Process Control

7.3.5. Marketing and User Profiling

7.3.6. Exploratory Analysis
7.4.   Looking Ahead
7.5.  Bibliographic and Historical Remarks

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7.1. Why These Case Studies?

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7.2. A Summary of Tasks for Predictive Data Mining

7.2.1.  A Checklist for Data Preparation

            7.2.2.  A Checklist for Data Reduction

            7.2.3.  A Checklist for Data Modeling and Prediction

7.2.4. A Checklist for Case and Solution

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7.3. The Case Studies

7.3.1. Transaction Processing

7.3.2. Text Mining

7.3.3. Outcomes Analysis

7.3.4. Process Control

7.3.5. Marketing and User Profiling

7.3.6. Exploratory Analysis

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7.4. Looking Ahead            

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7.5. Bibliographic and Historical Remarks

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Created:   1 Jan 2000          Updated:   1 Jan 2000

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