Recency-based sequential pattern mining in multiple event sequences
Recency-based sequential pattern mining in multiple event sequences
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Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
The standard sequential pattern mining scheme hardly considers the positions of events in a sequence, and therefore it is difficult to focus on more interesting patterns that represent better the causal relationships between events. Without quantifying how close two events are in a sequence, we may fail to evaluate how likely an event is caused by...
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Full title
Recency-based sequential pattern mining in multiple event sequences
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2479196357
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2479196357
Other Identifiers
ISSN
1384-5810
E-ISSN
1573-756X
DOI
10.1007/s10618-020-00715-7
