High-Utility Pattern Mining in Hadoop Environments

In this article, we present an Efficient High Utility Pattern Mining framework to mine high-utility patterns with a reasonable pruning strategy to speed up the mining performance. Concurrently, for solving the problem of excessive data volume in the current era, we applied the developed framework to the MapReduce architecture used for improving the feasibility in practical applications. Our in-depth work in this paper culminates with some experimental results that clearly show that our proposed framework can perform well to mine the required pattern in a big-data dataset and shows great performance in a Hadoop computing cluster.