Recently more encroachment has emerged in the field of data mining. One of the hottest topic in this area is mining for hidden patterns from the existing massive collection of databases. The knowledge obtained from these databases are used in various applications like super market sales-prediction, fraud detection etc. In this article, the various advancement in data mining using the association rule mining is discussed. Association rules generation in temporal mining, utility mining, statistical mining, privacy preservation mining, particle swarm optimizations etc., are reviewed. Therefore, this survey guides the researchers to know the progress of pattern mining using association rules for the intended purposes.