By
Mamdouh Refaat, Consultant
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 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.
Audience:
Data Mining professionals, business analysts, SAS programmers, and data management and statistics students who plan to work in data mining.
Essentially the same audience as all of our data mining books.
