1Department of Computer Science & Engineering, St. Soldier Institute of Engg. & Technology, Jalandhar, Punjab, India
2 AP(IT), Department of Computer Science & Engineering, Ramgarhia Institute of Engineering & Management Technology, Phagwara, Punjab, India
Online published on 27 June, 2017.
Association rule learning is a popular method for discovering interesting relations between variables in large database. It is often used in market basket analysis domain. Eg. A customer may buy onions and potatoes then he buys also beef. But, in fact, it can be implemented in various application areas where we want to discover the association between variables. The A PRIORI approach is certainly the most popular on [1]. But, despite its good properties, this method has a drawback: the number of obtained rules can be very high. The ability to underline the most interesting rules, those which are relevant, becomes a major challenge.
Apriori algorithm, Data mining, Information extraction
