Full-exact approach for frequent itemset hiding
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Date
2015
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IGI Global
Open Access Color
Gold
Green Open Access
Yes
OpenAIRE Downloads
69
OpenAIRE Views
49
Publicly Funded
No
Abstract
This paper proposes a novel exact approach that relies on integer programming for association rule hiding. A large panorama of solutions exists for the complex problem of itemset hiding: from practical heuristic approaches to more accurate exact approaches. Exact approaches provide better solutions while suffering from the lack of performance and existing exact approaches still augment their methods with heuristics to make the problem solvable. In this case, the solution may not be optimum. This work presents a full-exact method, without any need for heuristics. Extensive tests are conducted on 10 real datasets to analyze distance and information loss performances of the algorithm in comparison to a former similar algorithm. Since the approach provides the optimum solution to the problem, it should be considered as a reference method. Copyright © 2015, IGI Global.
Description
Keywords
Association Rule Hiding, Cost Model, Exact Approach, Itemset Hiding, Side Effect, Problem solving, Association rule hiding, Cost model, Itemset hiding, Side effect, Exact approach
Fields of Science
02020402 Cryptography/Information governance, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 02020108 Machine learning/Social Info Processing, 020201 artificial intelligence & image processing, 02 engineering and technology
Citation
4
WoS Q
Scopus Q

OpenCitations Citation Count
2
Source
International Journal of Data Warehousing and Mining
Volume
11
Issue
4
Start Page
End Page
Collections
PlumX Metrics
Citations
CrossRef : 2
Scopus : 4
Captures
Mendeley Readers : 4

