1 publication

• Published Subscription 5 Jul 2019

  Implementing FP-Growth Algorithm using Map Reduce for Mining Association Rules

  By K. Purushotam Naidu, CH. V. VD. Prasad

  Abstract: Abstract: In mining frequent itemsets, one of most important algorithms is FP-growth. FP-growth proposes an algorithm to compress information needed for mining frequent itemsets in FP-tree and recursively constructs FP-trees to find all frequent itemsets. Map Reduce is a distributed processing framework where the application is divided into many fragments of work, each of which may be executed on any node on a cluster. The main objective of this paper …

  Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 2, 2019 · pp. 18–29 Read article →