Decision Trees for Business Intelligence and Data Mining

Decision Trees for Business Intelligence and Data Mining
Author: Barry De Ville
Publisher: SAS Press
Total Pages: 224
Release: 2006
Genre: Business & Economics
ISBN: 9781590475676


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This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and how this technique complements and supplements other business intelligence applications.


Decision Trees for Business Intelligence and Data Mining
Language: en
Pages: 224
Authors: Barry De Ville
Categories: Business & Economics
Type: BOOK - Published: 2006 - Publisher: SAS Press

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This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business analytics, prediction, and
Decision Trees for Analytics Using SAS Enterprise Miner
Language: en
Pages: 268
Authors: Barry De Ville
Categories: Computers
Type: BOOK - Published: 2019-07-03 - Publisher:

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Decision Trees for Analytics Using SAS Enterprise Miner is the most comprehensive treatment of decision tree theory, use, and applications available in one easy
Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner
Language: en
Pages: 182
Authors: Olivia Parr-Rud
Categories: Business & Economics
Type: BOOK - Published: 2014-10 - Publisher: SAS Institute

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This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complet
Predictive Modeling with SAS Enterprise Miner
Language: en
Pages: 574
Authors: Kattamuri S. Sarma
Categories: Computers
Type: BOOK - Published: 2017-07-20 - Publisher: SAS Institute

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« Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that
Applying Predictive Analytics
Language: en
Pages: 209
Authors: Richard V. McCarthy
Categories: Technology & Engineering
Type: BOOK - Published: 2019-03-12 - Publisher: Springer

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This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compare