Data mining in business services
Data mining applies traditional statistical tools as well as artificial intelligence algorithms to the analysis of large datasets. Data mining has proven very effective in many fields, including business. This paper reviews applications of data mining relevant to the service industry, and demonstrates primary business functions and data mining methods. Typical industry data mining process is described, analytic tools are reviewed, and major software tools noted. Copyright Springer-Verlag 2007
Volume (Year): 1 (2007)
Issue (Month): 3 (September)
|Contact details of provider:|| Web page: http://www.springer.com|
Web page: http://www.panpacificbusiness.org/
|Order Information:||Web: http://www.springer.com/business/journal/11628|
When requesting a correction, please mention this item's handle: RePEc:spr:svcbiz:v:1:y:2007:i:3:p:181-193. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)or (Rebekah McClure)
If references are entirely missing, you can add them using this form.