Usama Fayyad
Ramasamy Uthurusamy
Skip Abstract Section
Abstract
Our ability to capture and store data far outpaces our ability to process and exploit it.
- Fayyad, U., Grinstein, G., and Wierse, A., Eds. Information Visualization in Data Mining. Morgan Kaufmann Publishers, San Francisco, 2002. Google Scholar
Digital Library
- Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., and Uthurusamy, R., Eds. Advances in Knowledge Discovery and Data Mining. MIT Press, Cambridge, MA, 1996. Google ScholarDigital Library
- Han, J. and Kamber, M. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco, 2000. Google ScholarDigital Library
- Hand, D, Mannila, H., and Smyth, P. Principles of Data Mining. MIT Press, Cambridge, MA, 2001. Google ScholarDigital Library
- Porter, J. Disk Trend 1998 Report; www.disktrend.com/pdf/ portrpkg.pdf.Google Scholar
- Tukey, J. Exploratory Data Analysis. Addison-Wesley, Reading, MA, 1977.Google Scholar
Index Terms
- Evolving data into mining solutions for insights
Recommendations
Mining and monitoring evolving data
Handbook of massive data setsData mining algorithms have been the focus of much recent research. The initial spurt of research on data mining algorithms typically considered static datasets. In practice, the input data to a data mining process resides in a large data warehouse ...
Comments