10 citations · 10 across the 2 of their papers we have counts for
4 papers · 1 filter
RDD-Eclat: Approaches to Parallelize Eclat Algorithm on Spark RDD Framework (Extended Version)
Pankaj Singh, Sudhakar Singh, P K Mishra +1
Frequent itemset mining (FIM) is a highly computational and data intensive algorithm. Therefore, parallel and distributed FIM algorithms have been designed to process large volume…
RDD-Eclat: Approaches to Parallelize Eclat Algorithm on Spark RDD Framework
Pankaj Singh, Sudhakar Singh, P. K. Mishra +1
Initially, a number of frequent itemset mining (FIM) algorithms have been designed on the Hadoop MapReduce, a distributed big data processing framework. But, due to heavy disk I/O,…
A Data Structure Perspective to the RDD-based Apriori Algorithm on Spark
Pankaj Singh, Sudhakar Singh, P. K. Mishra +1
During the recent years, a number of efficient and scalable frequent itemset mining algorithms for big data analytics have been proposed by many researchers. Initially, MapReduce-b…
Mining Association Rules in Various Computing Environments: A Survey
Sudhakar Singh, Pankaj Singh, Rakhi Garg +1
Association Rule Mining (ARM) is one of the well know and most researched technique of data mining. There are so many ARM algorithms have been designed that their counting is a lar…