Proposed Enhancement algorithm for Company Employers Management using Genetic Algorithm in Data Mining


Data mining is a process of automatically discovering useful information inlarge data repositories that uses a variety of data analysis tools to discover patternsand relationships that can be hidden among vast amount of data. From thesepatterns and relationships, businesses and organizations can make validpredictions about future trends in all areas of business. Association rule mining isa typical approach used in data mining domain for uncovering interesting trends,patterns and rules in large datasets.This research concentrates on one particular aspect to improve the efficiency ofthe association rules technique in data mining and implement the proposedalgorithm on employers management system. The resulted association whichintroduced by applying rule technique, will be treated by genetic algorithm to finda new rules that might be more efficient and powerful for proposed data base bypropose cross point ,threshold for fitness to deal consistently with the formula ofthe association rules, and gives good results.