An efficient algorithm for hiding high utility sequential patterns

DOI10.1016/J.IJAR.2018.01.005zbMath1444.68069OpenAlexW2789885268MaRDI QIDQ1642767

Duy-Tai Dinh, Van-Nam Huynh, Bac Le, Quang-Minh Nguyen, Philippe Fournier-Viger

Publication date: 15 June 2018

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2018.01.005

zbMATH Keywords

data miningprivacy-preserving data mininghigh-utility sequential pattern hidinghigh-utility sequential pattern mining

Mathematics Subject Classification ID

Database theory (68P15) Privacy of data (68P27)

Related Items (3)

Clustering mixed numerical and categorical data with missing values ⋮ H-FHAUI: hiding frequent high average utility itemsets ⋮ Editorial: Uncertainty management in machine learning applications

Uses Software

• SPMF
• PrefixSpan

Cites Work

• Security, privacy and trust in modern data management.
• Unnamed Item

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