Sequential pattern mining for ICT risk assessment and management

DOI10.1016/J.JLAMP.2018.09.007zbMath1408.68129OpenAlexW2892407590WikidataQ129193081 ScholiaQ129193081MaRDI QIDQ1633339

Salvatore Ruggieri, Fabrizio Baiardi, Federico Tonelli, Michele D'Andreagiovanni, Jacopo Lipilini

Publication date: 19 December 2018

Published in: Journal of Logical and Algebraic Methods in Programming (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jlamp.2018.09.007

zbMATH Keywords

maximum coverage problemattack sequencessecurity risk assessmentsequential pattern mining

Mathematics Subject Classification ID

Database theory (68P15) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Uses Software

• SPMF
• NVD

Cites Work

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• Skopus: mining top-\(k\) sequential patterns under leverage
• Sequential pattern mining -- approaches and algorithms
• Mining and Using Sets of Patterns through Compression
• Process Mining
• Mining Compressing Sequential Patterns
• Adaptive intrusion detection: A data mining approach

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