Data Mining Using SAS Enterprise Miner introduces the reader to various kinds of data mining techniques and explain the purpose and reasoning behind-every node that is part of Enterprise Miner software. Features of this book include: exploration of the relationship nodes and patterns using data from a variety of calculations, charts, and graphs commonly used in the SAS procedure A step-by-step approach to each node discussion, along with various illustrations to introduce readers to SAS Enterprise Miner working environment descriptive detail of the powerful Score node and associated SAS code, which displays the importance of managing, editing, executing, and creating specially designed Score code for the benefit of business decision-making in a fair and complete comprehensive coverage of various statistical techniques that can be done using Website SEMMA nodes attached which provides a score code download, code training, and sets of data for the further implementation, manipulation, and interpretation as well as SAS / IML software programming code This book is a study guide well-crafted in a variety of methods used to randomly sample partition, the cluster graph, convert, filter, blame, change, and data and group process in an interactive and iterative process the data when performing a variety of modeling techniques in the process flow of the SAS Enterprise Miner software.