Hide and Mine in Strings: Hardness, Algorithms, and Experiments

Data sanitization and frequent pattern mining are two well-studied topics in data mining. Data sanitization is the process of disguising (hiding) confidential information in a given dataset. Typically, this process incurs some utility loss that should be minimized. Frequent pattern mining is the pro...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 35; H. 6; S. 5948 - 5963
Hauptverfasser:	Bernardini, Giulia, Conte, Alessio, Gourdel, Garance, Grossi, Roberto, Loukides, Grigorios, Pisanti, Nadia, Pissis, Solon P., Punzi, Giulia, Stougie, Leen, Sweering, Michelle
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Algorithms Bioinformatics Computer Science Context Data integrity Data mining Data privacy data sanitization Datasets DNA frequent pattern mining Genomics Greedy algorithms Hardness Integer programming knowledge hiding Linear programming Pattern analysis Polynomials Privacy Resists string algorithms Strings
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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