<b>The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner. <p>The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until no
Data Mining Using SAS Enterprise Miner
β Scribed by Randall Matignon
- Publisher
- Wiley-Interscience
- Year
- 2007
- Tongue
- English
- Leaves
- 581
- Series
- Wiley Series in Computational Statistics
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Data Mining Using SASR Enterprise Miner introduces the reader to a wide variety of data mining techniques in SASR Enterprise Miner. This first-of-a-kind book explains the purpose of - and reasoning behind - every node that is a part of Enterprise Miner with regard to SEMMA design and data mining analysis. Each chapter starts with a short introduction to the assortment of statistics that are generated from the various Enterprise Miner nodes, followed by detailed explanations of configuration settings that are located within each node. The end result of the author's meticulous presentation is a well crafted study guide on the various methods that one employs to both randomly sample and partition data within the process flow of SASR Enterprise Miner.
β¦ Subjects
ΠΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ°;ΠΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½Π°Ρ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ°;SAS / JMP;
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If you have an abundance of data, but no idea what to do with it, this book was written for you! Packed with examples from an array of industries, Introduction to Data Mining Using SAS Enterprise Miner provides you with excellent starting points and practical guidelines to begin data mining today. A
Another must by for any level Sas user! Real world examples are the best way to learn. Another great buy!