By George Fernandez

Statistical information Mining utilizing SAS purposes, moment variation describes statistical facts mining recommendations and demonstrates the beneficial properties of undemanding facts mining SAS instruments. Integrating the statistical and graphical research instruments to be had in SAS structures, the ebook offers whole statistical information mining ideas with out writing SAS software codes or utilizing the point-and-click method. each one bankruptcy emphasizes step by step directions for utilizing SAS macros and analyzing the consequences. Compiled information mining SAS macro documents can be found for obtain at the author’s site. through following the step by step directions and downloading the SAS macros, analysts can practice entire information mining research quickly and successfully. New to the second one Edition—General good points entry to SAS macros without delay from machine appropriate with SAS model nine, SAS firm consultant, and SAS studying variation Reorganization of all support documents to an appendix skill to create e-book caliber pix Macro-call mistakes payment New beneficial properties in those SAS-Specific Macro functions changing notebook facts documents to SAS info (EXLSAS2 macro) Randomly splitting information (RANSPLIT2) Frequency research (FREQ2) Univariate research (UNIVAR2) PCA and issue research (FACTOR2) a number of linear regressions (REGDIAG2) Logistic regression (LOGIST2) CHAID research (CHAID2) Requiring no adventure with SAS programming, this source offers directions and instruments for quick appearing exploratory statistical equipment, regression research, logistic regression multivariate equipment, and class research. It offers an obtainable, SAS macro-oriented process whereas delivering entire information mining suggestions.

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Extra info for Statistical Data Mining Using SAS Applications, Second Edition (Chapman & Hall CRC Data Mining and Knowledge Discovery Series)

Sample text

It is usual for the database to often be designed for purposes different from data mining, so properties or attributes that would simplify the learning task are not present, nor can they be requested from the real world. Data mining solutions rely on databases to provide the raw data for modeling, and this raises problems in that databases tend to be dynamic, incomplete, noisy, and large. Other problems arise as a result of the adequacy and relevance of the information stored. Databases are usually contaminated by errors, so it cannot be assumed that the data they contain is entirely correct.

Often, the effect of an assumption violation on the normality test result depends on the extent of the violation. Some small violations may have little practical effect on the analysis, while serious violations may render the normality test result incorrect or uninterpretable. 3 Normal probability displays illustrating the right-skewed distribution of car midprice generated using the UNIVAR2 SAS macro.

This chapter briefly introduces the concept and applications of data mining techniques; that is, the secret and intelligent weapon that unleashes the power in your data. The SAS institute, the industry leader in analytical and decision support solutions, provides the powerful software called Enterprise Miner to perform complete data mining solutions. However, many small business and academic institutions do not have the license to use the application, but they have the license for SAS BASE, STAT, and GRAPH.

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