A Review of Frequent sequential Pattern Mining Methods

Deepti Chandnani , Prof. Ravi Gedam

data mining, sequential pattern mining, sequential support, knowledge discovery in data bases

Abstract: With the mining capabilities of the several data mining methodologies, there are several interesting extensions on frequent pattern mining. The discovery of sequential patterns is one of them. It has a vast array of real world applications. It is worthy of study on extending the memory indexing approach for efficient mining of generalized sequential patterns. This paper proposes a critical review of the sequential pattern mining methods.

Published Paper   E-Certificate

"A Review of Frequent sequential Pattern Mining Methods", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 3, page no.290 - 292, March-2017, Available :https://ijsdr.org/papers/IJSDR1703047.pdf

Volume 2 Issue 3, March-2017

Pages : 290 - 292

Paper Reg. ID: IJSDR_170124

Published Paper Id: IJSDR1703047

Downloads: 000347187

Research Area: Engineering

Country: Bhopal, Madhya Pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1703047

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1703047

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition