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Desai Sonali, P.
- A Performance Analysis of Sequential Pattern Mining Algorithms
Abstract Views :202 |
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Authors
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1 CSE Department, B.H. Gardi College of Engg. & Tech., Rajkot, Gujarat, IN
1 CSE Department, B.H. Gardi College of Engg. & Tech., Rajkot, Gujarat, IN
Source
Data Mining and Knowledge Engineering, Vol 7, No 3 (2015), Pagination: 117-121Abstract
Sequential pattern mining is a very important mining technique with wide applications. It found very useful in various domains like natural disaster, sales record analysis, marketing strategy, shopping sequences, medical treatment and DNA sequences etc. It discovers the subsequence's and frequent relevant pattern from the given sequences in the database. The first was Apriori algorithm, which was put forward by the founders themselves. Later more scalable algorithms for difficult applications were developed. E.g. GSP, Spade, PrefixSpan etc. In this paper, a survey of the sequential pattern mining algorithms is given.Keywords
Sequential Pattern, Sequence Database, Itemsets, Apriori, Pattern Growth.- Privacy Preserving in Association Rule Mining on Horizontally Partitioned Database
Abstract Views :172 |
PDF Views:2
Authors
Affiliations
1 CE Department, B.H. Gardi College of Engg. & Tech., Rajkot, Gujarat, IN
1 CE Department, B.H. Gardi College of Engg. & Tech., Rajkot, Gujarat, IN