A Review Paper on Sequential Pattern Mining Algorithms

  Aashka Shah,  Krunal Panchal

Sequential pattern mining and sequential rules mining are important data mining task for wide application. Its use to find frequently occurring ordered events or sub sequence as pattern from sequence database. Sequence can be called as order list of event. If one item set is completely subset of another item set is called sub sequence. Sequential pattern mining is used in various domains such as medical treatments, natural disasters, customer shopping sequences, DNA sequences and gene structures. The problem is to discover the all sequential pattern who satisfy the user specified constraint, from the given sequence database. Sequential pattern mining algorithm are mainly classified in to two part. Apriori based and pattern growth based algorithm. These are basic sequential pattern mining algorithm and mine full set sequential pattern mining algorithm which mean these algorithm are generate all frequent sequential pattern.

Keywords- Sequential pattern mining, Sequence database, apriori based algorithms, pattern growth based algorithms.

Unique Identification Number - IJEDR1504101
Page Number(s) - 599-602
Pubished in - Volume 3 | Issue 4 | December 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Aashka Shah,  Krunal Panchal,   "A Review Paper on Sequential Pattern Mining Algorithms", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.599-602, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504101.pdf