This study introduces an overview of data mining. It suggests that methods derived from classical statistics are an integrated part of data mining. However, there are substantial differences between these two areas. Classical statistical models and non-statistical models used in data mining, such as regression trees and artificial neural networks, are presented to emphasize their unique approaches to extract information from data. In summation, this research provides some background to data mining and the role of classical statistics played in it. / Department of Mathematical Sciences
| Identifer | oai:union.ndltd.org:BSU/oai:cardinalscholar.bsu.edu:handle/187728 |
| Date | January 2004 |
| Creators | Luo, Man |
| Contributors | Ali, Mir Masoom |
| Source Sets | Ball State University |
| Detected Language | English |
| Format | iii, 44 leaves : ill. ; 28 cm. |
| Source | Virtual Press |
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