Making Sense of Data
 
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Front Cover
Chapter 1: Introduction
Chapter 2: Definition
Chapter 3: Preparation
Chapter 4: Tables and Graphs
Chapter 5: Statistics
Chapter 6: Grouping
Chapter 7: Prediction
Chapter 8: Deployment
Chapter 9: Conclusions
Back Cover
Errata
 
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Chapter 1: Introduction
 
Description

Chapter 1 describes a four step process to be used in any data analysis or data mining project:

  • Step 1: Definition
  • Step 2: Preparation
  • Step 3: Implementation of the analysis
  • Step 4: Deployment
Further Reading
  • The CRISP-DM project (CRoss Industry Standard Process for Data Mining) has published a data mining process and describes details concerning the data mining stages and the relationship between the stages.
  • SEMMA (Sample, Explore, Modify, Model, Assess) describes a series of core tasks for model development in the SAS® Enterprise Miner™ software.
Tutorials
 
Chapter 2: Definition
 
 
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