Data Preparation for Data Mining Using SAS |
|
| Author:
| Refaat, Mamdouh |
| Series title: | The Morgan Kaufmann Series in Data Management Systems Ser. |
| ISBN: | 978-0-12-373577-5 |
| Publication Date: | Oct 2006 |
| Publisher: | Elsevier Science & Technology
|
| Imprint: | Morgan Kaufmann |
| Book Format: | Paperback |
| List Price: | USD $89.95 |
Book Description:
|
Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining views find 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...
More DescriptionAre you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining views find 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 process of data preparation for data mining, and presents the detailed implementation of each step in SAS. In addition, business applications of data mining modeling require you to deal with a large number of variables, typically hundreds if not thousands. Therefore, the book devotes several chapters to the methods of data transformation and variable selection.