Data Preparation for Data Mining Using SAS

Are you a data mining analyst, who spends up to 80% of your time? And do you know how to do it? Find out how little "how to" information? And are you, like most analysts, preparing the data in SAS?

This book is intended to fill this gap as your source of practical recipes. It introduces a framework for the implementation of SAS SAS. In addition, business applications of data mining modeling require a large number of variables. Therefore, the book devotes several chapters to the methods of transformation.

FEATURES
* A complete framework for the data preparation process, including the implementation of the details for each step.
* The complete SAS implementation code, which is readily available by professional analysts and data miners.
* A unique and comprehensive approach for the treatment of optimal values, optimal binning, and cardinality reduction.
* Assumes minimal proficiency in SAS and includes a quick-start chapter on writing SAS macros.
* CD includes dozens of SAS macros plus the sample for the book.

Contents
1 Introduction
2 Tasks and Data Flow
3 Review of Data Mining Modeling Techniques
4 SAS Macros: A Quick Start
5 Data Acquisition and Integration
6 Integrity Checks
8 Sampling and Partitioning
9 Data Transformations
10 Binning and Reduction of Cardinality
11 Treatment of Missing Values
12 Predictive Power and Variable Reduction I
13 Analysis of Nominal and Ordinal Variables
14 Analysis of Continuous Variables
15 Principal Component Analysis (PCA) 2
16 Factor Analysis
17 Predictive Power and Variable Reduction II
18 Putting it All Together
A Listing of SAS Macros