Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2431211.2431218 | ACM Comput. Surv. |
Keywords | Field | DocType |
common problem,article survey,metric space,sequential pattern mining,frequent subsequence | Data mining,Data stream mining,Computer science,Algorithm,Artificial intelligence,Metric space,Sequential Pattern Mining,K-optimal pattern discovery,Machine learning | Journal |
Volume | Issue | ISSN |
45 | 2 | 0360-0300 |
Citations | PageRank | References |
86 | 2.41 | 109 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carl H. Mooney | 1 | 120 | 4.60 |
| John F. Roddick | 2 | 1908 | 331.20 |