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.
| Original language | English |
|---|---|
| Article number | 19 |
| Pages (from-to) | 19 |
| Number of pages | 39 |
| Journal | ACM Computing Surveys |
| Volume | 45 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 2013 |
Keywords
- Sequential pattern mining
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