research-article

Sequential pattern mining -- approaches and algorithms

Authors:

Carl H. Mooney,

John F. RoddickAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 45, Issue 2

Article No.: 19, Pages 1 - 39

https://doi.org/10.1145/2431211.2431218

Published: 12 March 2013 Publication History

Abstract

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.

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Index Terms

Sequential pattern mining -- approaches and algorithms
1. Information systems
  1. Information systems applications

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 45, Issue 2

February 2013

417 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2431211

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Copyright © 2013 ACM.

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Published: 12 March 2013

Accepted: 01 September 2011

Revised: 01 September 2011

Received: 01 September 2009

Published in CSUR Volume 45, Issue 2

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https://dl.acm.org/doi/10.1145/3636555.3636863
Langer TMeyes RMeisen T(2024)Guided Exploration of Industrial Sensor DataComputer Graphics Forum10.1111/cgf.1500343:1Online publication date: 29-Jan-2024
https://doi.org/10.1111/cgf.15003
Geng MWu YLi YLiu JFournier-Viger PZhu XWu X(2024)RNP-Miner: Repetitive Nonoverlapping Sequential Pattern MiningIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.333430036:9(4874-4889)Online publication date: 1-Sep-2024
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Bechini ABondielli ADell'Oglio PMarcelloni F(2023)From basic approaches to novel challenges and applications in Sequential Pattern MiningElectronic Research Archive10.3934/aci.20230043:1(44-78)Online publication date: 2023
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