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Application of data mining algorithm with genetic algorithm | ||
| Tikrit Journal of Pure Science | ||
| Article 1, Volume 13, Issue 3, 2008, Pages 9-16 | ||
| Author | ||
| Maytham M. Hammood | ||
| Abstract | ||
| The Attribute-Oriented Induction (AOI) technique is one of the data mining techniques used to analyzing database. It is designed to address unique AOI problems that cannot be solved by other data analysis tools. An AOI is used to analysis the data to generalize the attributes according to two thresholds which determine the depth of rolling-up or rolling-down. The end result is some of attributes that succeeds in generalizing by passing the thresholds test, each one of them raises one value that represents the phenomenon in that database which is mined. But AOI ask the user to determine analysis dimensions, it is non trivial for users to determine which dimensions should be included in the analysis of class characteristics. Data relations often contain 50 to 100 attributes, and a user may have little knowledge regarding which attributes should be selected, so these problems have huge search space compatible with genetic algorithm search to determine the relevant attributes, since genetic algorithm need to fitness function so we use association rule for that. | ||
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