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Published in:
2014 | OriginalPaper | Chapter
SPaMi-FTS: An Efficient Algorithm for Mining Frequent Sequential Patterns
Authors : José Kadir Febrer-Hernández, José Hernández-Palancar, Raudel Hernández-León, Claudia Feregrino-Uribe
Published in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Publisher: Springer International Publishing
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In this paper, we propose a novel algorithm for mining frequent sequences, called SPaMi-FTS (
S
equential
Pa
ttern
Mi
ning based on
F
requent
T
wo-
S
equences). SPaMi-FTS introduces a new data structure to store the frequent sequences, which together with a new pruning strategy to reduce the number of candidate sequences and a new heuristic to generate them, allows to increase the efficiency of the frequent sequence mining. The experimental results show that the SPaMi-FTS algorithm has better performance than the main algorithms reported to discover frequent sequences.