Efficient Discovery of Frequent Approximate Sequential Patterns

We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "break-down-and-build-up" methodology. The "breakdown" is based on the observation that all occurrences of a fr...

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Bibliographic Details
Main Authors: ZHU, Feida, YAN, Xifeng, HAN, Jiawei, YU, Philip S.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2007
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Online Access:https://ink.library.smu.edu.sg/sis_research/933
https://ink.library.smu.edu.sg/context/sis_research/article/1932/viewcontent/EfficientDiscoveryFrequentAppSeqPatterns_2007.pdf
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Institution: Singapore Management University
Language: English
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