Hadoop-MapReduce: A platform for mining large datasets
Maedeh Afzali, Nishant K. Singh, Suresh Kumar V · International Conference on Computing for Sustainable Global Development · 2016
In today's technical world, big data is playing an important role in our life. The various digital devices are generating a deluge of data, which are too large and complex. Unfortunately, the conventional data mining techniques don't have the capability to analysis and manage these enormous amounts of data. These upcoming challenges have encountered us to a need of a new platform that helps us to improve the process of analyzing and extracting the useful knowledge and insights from large data sets. The aim of paper is to describe the Hadoop-MapReduce framework. In addition, one of the famous data mining algorithms in the field of association rule mining, called Apriori algorithm is implemented in MapReduce programming language, and it is executed on Hadoop platform.