e-NSP: efficient negative sequential pattern mining

DOI10.1016/j.artint.2016.03.001zbMath1352.68219OpenAlexW2297283352MaRDI QIDQ274424

Xiangjun Dong, Zhigang Zheng, Longbing Cao

Publication date: 22 April 2016

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.artint.2016.03.001

zbMATH Keywords

sequence analysisbehavior analyticsbehavior computingbehavior informaticsnegative sequence analysisnon-occurring behaviorpattern mining

Mathematics Subject Classification ID

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (2)

NegSPan: efficient extraction of negative sequential patterns with embedding constraints ⋮ Homophily outlier detection in non-IID categorical data

Uses Software

• SPADE
• Minebench
• SPMF
• PrefixSpan

Cites Work

• Unnamed Item
• Domain Driven Data Mining
• SPADE: An efficient algorithm for mining frequent sequences

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