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Apply Genetic Algorithm To Generate Association Rule | ||
| journal of al-qadisiyah for pure science(quarterly) | ||
| Article 1, Volume 7, Issue 1, 2007, Pages 338-351 PDF (0 K) | ||
| Author | ||
| Lamia AbedNoor | ||
| Abstract | ||
| This paper presents a new approach for extracting the frequent itemsets that may be included in the frequent pattern using genetic algorithm. To construct an association rule pattern, we need to find the itemsets that are the most frequent in the data set. So the time that can be consumed to perform this task will grow exponential as the size of data is increased. In this work, we attempt to develop an approach based on the genetic algorithm. However genetic algorithm can be used in evolving the itemsets in order to obtain the intended itemsets that achieve at least the minimum support and this can be done automatically. | ||
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