Data Mining

Definitions

• "The use of computer software to examine large volumes of data – for example the sales records of a retail business – in order to extract trends and relationships that may be of use in planning the business. [...]"
  The Penguin Concise Dictionary of Computing, 2003
  
  
• "the action of searching through DATA files looking for patterns; a form of statistical analysis, with the difference that the user may not be aware of what patterns exist."
  Computers and IT, 2003.
  
  
• "the gathering of electronically stored information, eg about shopping patterns from loyalty cards;"
  The Chambers Dictionary
  
  
• "Data mining is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner."
  Hand, Mannila and Smyth (2001)
  
  
• "Data mining, also known as knowledge-discovery in databases (KDD), is the practice of automatically searching large stores of data for patterns. To do this, data mining uses computational techniques from statistics and pattern recognition."

Wikipedia (2005)


• "Data mining is defined as the process of discovering patterns in data. The process must be automatic or (more usually) semi-automatic. The patterns discovered must be meaningful in that they lead to some advantage, usually an economic advantage. The data is invariably present in substantial quantities."
  Witten and Frank (2000)
  

Books

• Hand, Mannila and Smyth (2001)
  
  
• Kovalerchuk and Vityaev
  
  
• Pyle (1999)
  
  
• Witten and Frank (2000)
  
  

Links

• Wikipedia: Data mining
  
  
• Google Directory - Computers > Software > Databases > Data Mining
  
  

Data Mining and Statictics

• HOSKING, J.R.M., E.P.D. PEDNAULT and M. SUDAN, 1997. Statistical perspective on data mining. FUTURE GENER COMPUT SYST. [Cited by 22]

Bibliography

• ADRIAANS, P. and D. ZANTINGE, 1996. Data mining. Harlow, England; Reading, Mass.: Addison-Wesley. [Cited by 188]
• BERRY, M.J.A. and G. LINOFF, 1997. Data Mining Techniques: For Marketing, Sales, and Customer Support. dssresources.com. [Cited by 366]
• CHEN, M.S., J. HAN and P.S. YU, 1996. Data Mining: An Overview from a Database Perspective. IEEE Transactions on Knowledge and Data Engineering. [Cited by 446]
• DZEROSKI, S., et al., 2001. Relational Data Mining. www-ai.ijs.si. [Cited by 112]
• FAYYAD, U. and R. UTHURUSAMY, 1996. Data Mining and Knowledge Discovery in Databases. Data Mining and Knowledge Discovery. [Cited by 304]
• FAYYAD, U.M., et al., 1996. Advances in Knowledge Discovery and Data Mining. MIT Press. [Cited by 1235]
• FAYYAD, U.M., G. PIATETSKY-SHAPIRO and P. SMYTH, 1996. From Data Mining to Knowledge Discovery: An Overview. … in knowledge discovery and data mining table of contents. [Cited by 794]
• FAYYAD, U.M., G. PIATETSKY-SHAPIRO and P. SMYTH, 1996. Knowledge Discovery and Data Mining: Towards a Unifying Framework. KDD. [Cited by 153]
• HAN, J., et al., 2002. Data Mining: Concepts and Techniques. SIGMOD Record. [Cited by 1394]
• HAND, D.J., H. MANNILA and P. SMYTH, 2001. Principles of Data Mining. mitpress.mit.edu. [Cited by 372]
• KOHAVI, R., D. SOMMERFIELD and J. DOUGHERTY, 1996. Data Mining Using MLC++: A Machine Learning Library in C++. Proceedings of the 8th International Conference on Tools …. [Cited by 173]
• WITTEN, I.H., E. FRANK and I.H. WITTEN, 1999. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. print.google.com. [Cited by 1344]