![]() A Handbook of Statistical Analyses using SAS, Second Edition comes to the rescue. Its manuals comprise well over 10,000 pages and can intimidate, or at least bewilder, all but the most experienced users. As a leading statistics software package, SAS is no exception. Powerful software often comes, unfortunately, with an overwhelming amount of documentation. The author shows how to perform complete predictive modeling, including data exploration, model fitting, assumption checks, validation, and scoring new data, on SAS datasets in less than ten minutes! No additional modules or previous experience in SAS programming is required. Learn how to convert PC databases to SAS data Discover sampling techniques to create training and validation samples Understand frequency data analysis for categorical data Explore supervised and unsupervised learning Master exploratory graphical techniques Acquire model validation techniques in regression and classification The text furnishes 13 easy-to-use SAS data mining macros designed to work with the standard SAS modules. These methods stress the use of visualization to thoroughly study the structure of data and check the validity of statistical models fitted to data. Data Mining Using SAS Applications not only introduces the key concepts but also enables readers to understand and successfully apply data mining methods using powerful yet user-friendly SAS macro-call files. Most books on data mining focus on principles and furnish few instructions on how to carry out a data mining project. ![]()
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