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Sequential Pattern Mining - Approaches and Algorithms

delete2013-03-12
delete204
PRE
AI
C
Carl Mooney *
J
John F. Roddick
DOI:10.1145/2431211.2431218delete
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Abstract

Abstract

En 中文
Sequences of events, items, or tokens occurring in an ordered metric space appear often in data and the requirement to detect and analyze frequent subsequences is a common problem. Sequential Pattern Mining arose as a subfield of data mining to focus on this field. This article surveys the approaches and algorithms proposed to date.
Keywords:
Algorithms
Design
Sequential pattern mining
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

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ACM Computing Surveys cover
ACM Computing Surveys
IF:
28
Papers:
2.4K
Citations:
3.5W

Organization

F
Flinders University South Australia
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8.9K
Papers: 1.0W
Citations: 84