Optimization of association rule mining using improved genetic algorithms

摘要: In this paper, the main area of concentration was to optimize rules generated by association rule mining (a priori method), using genetic algorithms. general technique do not consider negative occurrences attributes in them, but algorithms (GAs) over these system can predict which contains attributes. The motivation for GAs discovery high-level prediction is that they perform a global search and cope better with attribute interaction than greedy induction often used data mining. improvements applied are definitely going help based systems classification as described results conclusions.