DATA MINING AND STATISTICAL METHODS USED FOR SCANNING CATEGORICAL DATA | ||
| Journal of University of Anbar for Pure Science | ||
| Article 26, Volume 1, Issue 2, August 2007, Pages 126-134 PDF (315.08 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.37652/juaps.2007.15361 | ||
| Author | ||
| Murtadha M.Hamad* | ||
| Al-Anbar University-College of computers | ||
| Abstract | ||
| It has been shown that data mining uncovers patterns in data using predictive techniques. These patterns play a critical role in decision making because they reveal areas for process improvement. Statistical techniques such as Chi-square test for association are widely used in the medical field. Yet, the interpretation of some of the results approached by the use of this statistical techniques is seems to be a very difficult task. The type of association is often non-linear and hence will mask the important part of the use of this technique. In this research work a new approach is adopted by scanning the raw data for any possible association (linear or non-linear). More data mining methods and statistical inference were the base tools of this research work. | ||
| Keywords | ||
| Chi; square test; Data Mining; Kappa measures; Linear and non; linear association; Categorical data | ||
| References | ||
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