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Full-exact approach for frequent itemset hiding

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Date

2015

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
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

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 Logo
OpenCitations Citation Count
2

Source

International Journal of Data Warehousing and Mining

Volume

11

Issue

4

Start Page

End Page

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Citations

CrossRef : 2

Scopus : 4

Captures

Mendeley Readers : 4

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