REFERENCES

Chapter IX - The Pitfalls of Knowledge Discovery in Databases and Data Mining
Data Mining: Opportunities and Challenges
by John Wang (ed)
Idea Group Publishing 2003

	Brought to you by Team-Fly

Abbot, D. (November 2001). Data mining accuracy. Available online at: <http://www.the_modelingagency.com/>.

Abramowicz, W., & Zurada, J. (2001). Knowledge discovery for business information systems. Boston, MA: Kluwer Academic Publishers.

Anonymous (October 2001). Data mining/CRM: Searching for an ROI. Chain Store Age, Retail IT 2001, 24 26.

Atkins, M.E. (2000). A jump start in winning: understanding enterprise data quality management. Available online at: <http://www.datawarehouse.com/iknowledge/articles/article.efm?ContentID=278>.

Australian National University. (2001). Data mining from a statistical perspective. Available online at: <http://wwwmaths.anu.edu.au/~johnm/dm/dmpaper.html>.

Berger, J.O. & Berry, D.A. (1988). The relevance of stopping rules in statistical inference. In S. Gupta & J.O. Berger (eds.) Statistical decision theory and related topics. Springer-Verlag.

Berry, M. & Linoff, G. (2000). Mastering data mining: The art and science of customer relationship management. New York: Wiley Computer Publishing.

Business Lounge (2001). Data mining: A new branch of knowledge discovery. Available online at: <http://www.bl.com.au/pages/articles/data-mining.htm>.

Chen, L. & Sakaguchi, T. (2000). Disadvantages of data mining. Information Systems Management, 17(1), 65.

Chen, Z. (2001). Data mining and uncertain reasoning, An integrated approach. New York: John Wiley & Sons, Inc.

Chung, H. M. (1999). Data mining. Journal of Management Information Systems, 16(1), 11 17.

Cline, K. (1997). Data mining's promise & pitfalls, Banking Strategies LXXIII, 40 46.

Coy, P. (1997). He who mines data may strike fool's gold. Business Week, #3531, 40.

DataMines for Data Warehouses (2001). Available online at: <http://www.ite.poly.edu/mg/mg693/e0025984/projects/WrightBro/DforD.htm>

Dietterich, T.G. (1999). Machine learning. In R. Wilson and F. Keil (eds.) The MIT encyclopedia of the cognitive sciences. Cambridge, MA: MIT Press.

E-commag (2001). Solutions to data inaccuracies. Available online at: <http://www.e-commag.com/>.

Electronic Textbook Statsoft.com (2001). Data mining techniques. Available online at: <http://www.statsoft.com/textbook/stdatmin.html>.

Griffin, J. (2000), Fundamental pitfalls to avoid in your data warehouse. Available online at: <http://www.datawarehouse.com/iknowledge/article/>.

Griffin, J. (2001). Four big pitfalls to avoid when Web-enabling your data warehouse-and how to avoid them. Available online at: <http://www.datawarehouse.com/iknowledge/articles/article.cfm?contentID=1214>.

Groth, R. (2001). Data mining: Building competitive advantage. New York: Prentice Hall.

Gunter, B. (1996). Data mining: Mother lode or fool's gold? Quality Progress, 29(4), 113 118.

Hand, D., Mannila, H., & Smyth, P. (2001). Principles of data mining. Cambridge, MA: MIT Press.

Hoss, D. (2001). Data mining: Pitfalls. Available online at: <http://www.datawarehouse.com/>.

International Knowledge Discovery Institute (1999). What is data mining? Available online at: <http://www.ikdi.net/data-mining.html>.

Investor Home (1999). Data mining. Available online at: <http://www.investorhome.com/mining.htm>.

Jensen, D. (1999). Data snooping, dredging and fishing: the dark side of data mining. A SIGKDD99 Panel Report. 1(2), 52, ACM, Inc.

Jensen, H. (2001) Using data mining with statistics. Available online at: <http://www/isi.edu>.

Jones, L. (2001). Neural networks. Available online at: <http://ei.cs.vt.edu//NEURALNET/html>.

Judson, H. (2000). Make data mining work for you. Available online at: <http://wwwksi.cpsc.ucalgary.ca/>.

KDNuggets (2001). Data mining frequently asked questions. Available online at: <http://www.kdnuggcts.com/publications/index.html#Definitions>.

Knowledge Acquisition Discovery Management (1997). Introduction to data mining and knowledge discovery. Available online at: <http://scanner-group.mit.edu/htdocs/thesis/angeclagethesis.html>.

McQueen, G. & Thorley, S. (1999). Mining fool's gold. Financial Analysts Journal, Available online at: <http://www.indexfunds.com/articles/19990315_miningiss_genRS.htm>.

META Group (2001). META Group research summary. The Internet <http://www.metagroup.com/>.

Montana, J.C. (2001). Data mining: A slippery slope,. Information Management Journal, 35(Oct), 50 54.

Moss, L. (2000). Data warehouse goals and objectives: Part 3: Long-term objectives. Available online at: <http://www.datawarehouse.com/iknowledge/articles/topic_sub.cfm>.

Numerical Machine Learning (1997). What is data mining? Available online at: <http://www.cc.gatech.edu/~kingd/datamine/datamine.html>.

Pagallo, G. & Haussler D. (1990). Boolean feature discovery in empirical learning. Machine Learning, 5(1), pp. 71 99, March.

Parsaye, K. (1995). Using correct data. Available online at: <http://www.datamining.com/>.

Pyle, D. (1999). Data preparation for data mining. San Francisco, CA: Morgan Kaufmann.

Saarenvirta, G. (February). Slice and dice. CMA Management, 73(1), 26 30.

Sauter, V. (1999). Intuitive decision-making. Communications of the ACM, 42(6), 109 115.

Sethi, I. K. (2001). Data mining: An introduction. Available online at: <http://www.cs.ubc.ca/nest/temporal.html>.

Teo, T.S.H. & Ang, J.S.K. (2000). Building a data warehouse at the housing and development board. Database for Advances in Information Systems, V31, 35 45.

Two Crows Corporation (2001). Two Crows White Paper: Scalable data mining. Available online at: <http://www.twocrows.com/whilep.htm>.

Wasserman, M. (1999). Efficiency as an issue in cognitive architectures, trust your data?. Available online at: <http://www.bos.frb.org/>.

Wu, J. (2000). A framework for information quality in a data warehouse. NCR: Data warehousing report, 3(4).

	Brought to you by Team-Fly