Java Reference
In-Depth Information
[Hu 2005] Xiaohua Hu, “A Data Mining Approach for Retailing Bank
Customer Attrition Analysis,” Springer Science
Business Media B.V.,
formerly Kluwer Academic Publishers B.V., vol. 22, no. 1, http://
www.springerlink .com/( maecq445 vroxvm33fwowiyua) /app/home /
contribution . asp?referrer
parent & backto
issue, 5, 6; journal, 7, 74;
linkingpublicationresults,1:100236,1.
[Johnston 1996] Stuart J. Johnston, “How to Get a Better Return on Data?”
http://www.informationweek.com/596/96bank.htm.
[Keahey 1999] T. Alan Keahey, “Visualization of High-Dimensional Clus-
ters Using Nonlinear Magnification,” Los Alamos National Laboratory,
MS B287, http://www.ccs.lanl.gov/ccs1/projects/Viz/pdfs/99-spie.pdf.
[Middlemiss 2001] Jim Middlemiss, “Bank of Montreal Aims to Score with
Clients Using Data Mining Product,” Bank Systems & Technology ,
http://www.banktech.com/showArticle.jhtml?articleID
14701805.
[Pyle 1999] Dorian Pyle, “Data Preparation for Data Mining,” San Fran-
cisco, Morgan Kaufmann, 1999.
[Rossini 2000] Peter Rossini, “Using Expert Systems and Artificial Intelli-
gence for Real Estate Forecasting,” Sixth Annual Pacific-Rim Real
Estate Society Conference, Sydney, Australia, January 24-27, 2000,
http: // www. unisanet . unisa . edu . au / staff / peterrossini / Documents /
Using%20Artificial%20Intelligence%20for%20Real%20Estate%20-
Forecasting.pdf.
[20QNET] http://www.20q.net.
[Wikipedia-CI 2006] http://en.wikipedia.org/wiki/Conditionally_independent.
[Witten/Frank 2005] Ian H. Witten, Eibe Frank, Data Mining: Practical
Machine Learning Tools and Techniques , San Francisco, Morgan Kauf-
mann, 2005.
Search WWH ::




Custom Search