Image from Google Jackets

Data Mining Using SAS Enterprise Miner

By: By: Material type: TextTextPublication details: New Delhi: Wiley India Private Limited , c2007Description: 564 ill. ; 28 cmISBN:
  • 9788126535668
Subject(s): DDC classification:
  • 005.74 MAT 22
LOC classification:
  • QA76.9.D343 M39 2007
Summary: Data Mining Using SAS174; Enterprise Miner introduces the reader to a wide variety of data mining techniques in SAS174; 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 author8217;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 SAS174; Enterprise Miner
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Book Reference Book ACED Computer Science and Information Technology 005.74 MAT (Browse shelf(Opens below)) Not for loan E07407
Book Book ACED Computer Science and Information Technology 005.74 MAT (Browse shelf(Opens below)) Available E07408
Book Book Alliance School of Liberal Arts and Humanities 005.74 MAT (Browse shelf(Opens below)) Available LA02155
Total holds: 0

Includes bibliographical references (p. 557-559) and index.

Data Mining Using SAS174; Enterprise Miner introduces the reader to a wide variety of data mining techniques in SAS174; 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 author8217;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 SAS174; Enterprise Miner

There are no comments on this title.

to post a comment.