Generation & analysis of association rules from android application clones

Earlier association rule data mining was mainly used for analysis of market basket data but now the scope has widened. It is experimented in various areas where extraction of interesting correlations can help like healthcare, education systems, manufacturing engineering, network management, intelligence etc. As android is a new technology which came into use from 2008 only, very few researchers have touched the area of applying association rule mining on android applications. Here an implementation of association rule FP-growth algorithm on similar android applications (clones) is done, which is a novel area itself. Paper describes a framework which mines association rules from android application clones. The analysis of the rules and dependencies proved fruitful and gave useful results. Interesting relations are extracted between codes, which can help the developers in performing future operations like modification of the code easily.