Quick Search for Books|
Interested in exploring the exciting world of data mining using SAS? Here are some great books to guide you.
|Applied Data Mining for Forecasting Using SAS|
By Tim Rey, Arthur Kordon, and Chip Wells
Using numerous real-world examples, this book introduces and describes approaches for mining large time series data sets.
|Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring
By Naeem Siddiqi, M.B.A.
Presents a business-focused process built on a solid foundation of statistic and data mining principles for the development and implementation
of risk prediction scorecards.
|Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition
By Randall S. Collica
In this instructive guide, Randy Collica employs SAS Enterprise Miner and the most commonly available techniques for customer relationship management (CRM).
|Data Preparation for Analytics Using SAS
By Gerhard Svolba
This user-friendly text offers practical advice in the form of SAS coding tips and tricks, along with providing the reader with a conceptual background on
data structures and considerations from the business point of view.
|Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner
By Barry deVille
Using SAS Enterprise Miner, this book illustrates the application and operation of decision trees in business intelligence, data mining, business analytics,
prediction, and knowledge discovery.
|Integrating Results through Meta-Analytic Review Using SAS Software
By Morgan C. Wang, Ph.D., and Brad J. Bushman, Ph.D.
Wang and Bushman offer a thorough description of how meta-analysis can be used in data mining projects to discover meaningful relations among variables
in a collection of studies.
|Multivariate Data Reduction and Discrimination with SAS Software
By Ravindra Khattree, Ph.D., and Dayanand N. Naik, Ph.D.
Presents conceptual developments, theory, methods, and subsequent data analyses in an integrated manner. Together with Applied Multivariate
Statistics with SAS Software, Second Edition, provides comprehensive information about using SAS for multivariate statistics.
|Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications
By Kattamuri Sarma
Step by step, you'll be able to compare manual calculations with the calculations that are performed by SAS Enterprise Miner. Addresses: data collection and data cleaning, decision trees and
regression trees, logistic regression models, and more.