A COMPARISON OF DECISION TREE DATA MINING ALGORITHMS IN SAS ENTERPRISE MINER AND MS SQL SERVER DATA MINING
A COMPARISON OF DECISION TREE DATA MINING ALGORITHMS IN SAS ENTERPRISE MINER AND MS SQL SERVER DATA MINING
Author(s): Maciej PondelSubject(s): Economy
Published by: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Keywords: DATA MINING; SAS ENTERPRISE MINER; MS SQL SERVER DATA MINING; DECISION TREES
Summary/Abstract: Today’s business generates tremendous volumes of data. Most of the data are essentialto provide operational processes. Though they are useful to support operational businessprocesses they are also used for analysts. Analytical tools support processes on a higher – managing – level. This group of solutions is called Business Intelligence. A part of the businessintelligence tools is data mining software. Various software producers develop their own Data Mining tools. Author of this paper has chosen two of them: Microsoft SQL Server 2008 and SAS Enterprise Miner and compared one of the available Data Mining methods.
Journal: Informatyka Ekonomiczna
- Issue Year: 2011
- Issue No: 21
- Page Range: 69-78
- Page Count: 10
- Language: English