Generate Frequent Item Sets with Modified Top down Apriori Algorithm using Mapreduce

As with the advancement of the IT technologies, the data is increasing day by day and it is difficult to manage the data and find out relevant information from it. There are many conventional data mining techniques present for generating frequent item sets. Association rule mining is one of the important task of descriptive technique . Apriori algorithm is the versatile algorithm for generating frequent item sets. Challenge is to improve efficiency by taking less time and produce better results. Hadoop Map reduce introduced by Google overcomes the problem of multiple re-execution of tasks.In this paper Hybrid approach of modified apriori with Hadoop MapReduce is proposed. General Terms Modified Algorithm, Frequent Item sets,Apriori Algorithm

[1]  Shikha Maheshwari,et al.  Novel Method of Apriori Algorithm using Top Down Approach , 2013 .

[2]  Rakesh Agarwal,et al.  Fast Algorithms for Mining Association Rules , 1994, VLDB 1994.

[3]  Qing He,et al.  Parallel Implementation of Apriori Algorithm Based on MapReduce , 2012, 2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

[4]  Qing He,et al.  Parallel Implementation of Apriori Algorithm Based on MapReduce , 2012, SNPD.

[5]  Huiying Wang,et al.  The research of improved association rules mining Apriori algorithm , 2011, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[6]  Hairong Kuang,et al.  The Hadoop Distributed File System , 2010, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST).

[7]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

[8]  Suresh Kumar,et al.  Hadoop-MapReduce: A platform for mining large datasets , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).

[9]  Wanggen Wan,et al.  Mining association rules based on an improved Apriori Algorithm , 2010, 2010 International Conference on Audio, Language and Image Processing.

[10]  Luo Fang,et al.  The Study on the Application of Data Mining Based on Association Rules , 2012, 2012 International Conference on Communication Systems and Network Technologies.