File(s) stored somewhere else

Please note: Linked content is NOT stored on Carnegie Mellon University and we can't guarantee its availability, quality, security or accept any liability.

Development of New Structure for Frequent Pattern Mining

journal contribution
posted on 01.01.2008, 00:00 by Upasna Singh, Gora Nandi

In this paper, we develop a new novel data structure called SH-Struct (Soft-Hyperlinked Structure) which mines the complete frequent itemset using SH-Mine algorithm. This algorithm enables frequent pattern mining with different supports. SH-Struct is based on creating SH-Tree which extends the idea of H-Struct to improvise storage compression and allow very fast frequent pattern mining. The algorithm has been tested extensively with various datasets and the experimental analysis shows that it outperforms FP-growth (Frequent Pattern growth) algorithm in terms of space and time payoffs.

History

Date

01/01/2008

Usage metrics

Exports