Data Preparation for Data Mining Using SAS

Data Preparation for Data Mining Using SAS
Publisher: Morgan Kaufmann | ISBN: 0123735777 | edition 2006 | File type: PDF | 424 pages | 2,2 mb

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.

Download Links:

[Fast Download] Data Preparation for Data Mining Using SAS

Related eBooks:
Dynamics 365 CE Essentials: Administering and Configuring Solutions
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Pro Power BI Architecture: Sharing, Security, and Deployment Options for Microsoft Power BI Solution
The Practice of Reproducible Research : Case Studies and Lessons From the Data-Intensive Sciences
Clustering Methods for Big Data Analytics: Techniques, Toolboxes and Applications
Implementing Splunk 7, Third Edition
Unsupervised Learning with R
Matrix and Tensor Factorization Techniques for Recommender Systems
Toby J. Teorey, Sam S. Lightstone - Database Modeling and Design, Fifth Edition
Guide to Big Data Applications
Microsoft SQL Server 2005 Notification Services
Data Science with Java: Practical Methods for Scientists and Engineers
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.