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A study of sequential pattern mining algorithm

Author(s):

Taral Patel , L.J. Institute of engineering Technology,ahmedabad; Narendra Limbad, L.J.I.E.T., Ahmedabad

Keywords:

Sequential pattern mining, closed sequential pattern mining, Maximal Sequential pattern mining

Abstract

Sequential pattern mining use to finds frequently occurring ordered events or sub sequence as pattern from sequence database. Applications of SPM are analysis of web click stream data, medical data, biological data, e-learning data, customer purchase behavior, natural disaster. In this paper represent review of sequential pattern mining technique using different algorithm. The main classifications of SPM algorithm are two categories. First is Apriory based algorithm like GSP, SPADE, SPAM and second is pattern growth based algorithm like Prefix span, WAPMINE. Modified SPM algorithm like mine closed sequential pattern algorithm like BIDE, Clospan etc, maximal sequential pattern like MsPX,, MaxSP, MFSPAN etc. At last, comparative study of different algorithm is done via different key features support by SPM algorithm and also study extensions of sequential pattern mining algorithm.

Other Details

Paper ID: IJSRDV2I9382
Published in: Volume : 2, Issue : 9
Publication Date: 01/12/2014
Page(s): 770-774

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