An Algorithm for Mining Large Sequences in Databases

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Provided by: IBIMA Publishing
Topic: Big Data
Format: PDF
The algorithm uses top down approach and generates the longest possible candidate sequences. Frequent sequence mining is a fundamental and essential operation in the process of discovering the sequential rules. Most of the sequence mining algorithms use apriori methodology or build the larger sequences from smaller patterns, a bottom-up approach. In this paper, the authors present an algorithm that uses top-down approach for mining long sequences. Their algorithm defines dominancy of the sequences and uses it for minimizing the scanning of the data set.
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