Sequential Pattern Tree Mining

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 15, Issue 5

Abstract

 Sequential pattern mining, which discovers the correlation relationships from the ordered list of events, is an important research field in data mining area. In our study, we have developed a Sequential Pattern Tree structure to store both frequent and non-frequent items from sequence database. It requires only  one scan of database to build the tree due to storage of non-frequent items which reduce the tree construction  time considerably. Then, we have proposed an efficient Sequential Pattern Tree Mining algorithm which can  generate frequent sequential patterns from the Sequential Pattern Tree recursively. The main advantage of this  algorithm is to mine the complete set of frequent sequential patterns from the Sequential Pattern Tree without  generating any intermediate projected tree. Again, it does not generate unnecessary candidate sequences and  not require repeated scanning of the original database. We have compared our proposed approach with three  existing algorithms and our performance study shows that, our algorithm is much faster than apriori based GSP algorithm and also faster than existing PrefixSpan and Tree Based Mining algorithm which are based on pattern growth approaches

Authors and Affiliations

Ashin Ara Bithi

Keywords

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  • EP ID EP120931
  • DOI -
  • Views 116
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How To Cite

Ashin Ara Bithi (2013).  Sequential Pattern Tree Mining. IOSR Journals (IOSR Journal of Computer Engineering), 15(5), 79-89. https://europub.co.uk/articles/-A-120931