Detection Association Rules in Sudanese Company for Electricity Distribution Ltd Data-Set

Abstract

Electrical failure in the management companies is one of the most difficult administrative work, This is because the imbalance which leads to poor service, customer mump and the increase in the volume of data without the benefit of it; is one of the disadvantages of the use of computers, one of the modern techniques in data mining to extract knowledge, and new relationships with the assistance of decision-makers in corporate management. The objective of this research is to use the failures dataset of the following areas (Khartoum, Khartoum North, and Omdurman) and one of the mining techniques is applied on it; it’s association rules with two different algorithms. The research results have shown that there is a set of relationships which is important, and linked between time, station and the type of failure.