Mohammad Ali Kadampur

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Data mining deals with automatic extraction of previously unknown patterns from large amounts of data. Organizations all over the world handle large amounts of data and are dependent on mining gigantic data sets for expansion of their enterprises. These data sets typically contain sensitive individual information, which consequently get exposed to the other(More)
Sequences data are one of the most important types of data. From the sequence data generating the patterns is having more impact and importance in the various areas of data mining. This paper proposes an efficient algorithm for mining sequential patterns which contains the gaps in it. The algorithm gains its efficiency by the use of suffix tree for building(More)
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