Introduction to Data Mining
Here's a quick guide to getting started in data mining.
You may also want to look at
Data Mining Books and
Data Mining and Warehousing
Introduction
Data mining (also known as Knowledge Discovery in Databases - KDD) has been defined as "The nontrivial extraction of implicit, previously unknown, and potentially useful information from data"[1] It uses machine learning, statistical and visualization techniques to discover and present knowledge in a form which is easily comprehensible to humans.
Applications of Data Mining
Some example application areas are listed under
Applications Of Data Mining
A resourceful blog on data mining specially for novices with a good and easy to understand introduction to data mining and good examples of data mining applications to solve real life problems.
Net accessible resources
Two main websites provide information on
Mango data mining (including pointers to other relevant sites). They are
The Data Mine The Data Mining Wiki -
http://www.The-Data-Mine.com
Featuring articles on data mining, a
database of software and information on
Data Mining Organizations. It attempts to provide links to as much of the available data mining information on the net as is possible. Contributions to this effort are very welcome.
Knowledge Discovery Mine -
http://www.kdnuggets.com
The Knowledge Discovery Mine has the KDD FAQ, a comprehensive catalog of tools for discovery in data, as well as back issues of the KDD-Nugget mailing list.
Online Introductions
Journals
Business and Industry Publications
Academic Journals
Journals relevant to Data Mining
Introductory Articles
[1] W. Frawley and G. Piatetsky-Shapiro and C. Matheus, Knowledge Discovery in Databases: An Overview. AI Magazine, Fall 1992, pgs 213-228
[2] "State of The Art" in Byte Magazine October 1995, contains three articles on Data Mining and Data Warehousing -
http://www.byte.com/art/9510/sec8/sec8.htm [[http://astore.amazon.com/bissellstore-20?node=108] [http://www.eluneart.com/] [http://www.ebusinesssubmit.com]
[3] W. H. Inmon and S. Osterfelt, Understanding Data Pattern Processing QED Techincal Publishing Group, 1991, Wellesley, MA. I haven't see this book myself, but I saw
Gregory Piatetsky Shapiro? describe it as "a business-oriented, nontechnical book" [[http://astore.amazon.com/bissellcleaner-20?_encoding=UTF8&node=123]
[4] Cheryl Gerber, Excavate Your Data. Datamation 42(9), May 1996. "Datamining could be your No. 1 strategic weapon--and source of profit--in dissecting archival information. But with its roots in machine learning, this esoteric technology takes some time to master." -
http://www.datamation.com
[5] Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, and Ramasamy Uthurusamy, Advances in Knowledge Discovery and Data Mining. Published by the AAAI Press / The MIT Press -
http://aaai.org/Press/Books/Fayyad/fayyad.html
[6] Herb Edelstein, Data Mining: Exploiting the Hidden Trends in Your Data. DB2 Online Magazine.
"This article, adapted from the Two Crows report "Data Mining: Products, Applications, Technology," introduces you to data mining technology and explains how IBM's Intelligent Miner can help you exploit hidden trends in your data." -
http://www.db2mag.com [[http://astore.amazon.com/all_homeandgarden-20?node=30]
Larger Bibliography
See:
Data Mining Bibliographies
See also: