Boštjan Brumen (Author), Izidor Golob (Author), Tatjana Welzer-Družovec (Author), Ivan Rozman (Author), Marjan Družovec (Author), Hannu Jaakkola (Author)

Abstract

In the paper, we present an algorithm that can be applied to protect data before a data mining process takes place. The data mining, a part of the knowledge discovery process, is mainly about building models from data. We address the following question: can we protect the data and still allow the data modelling process to take place? We consider the case where the distributions of original data values are preserved while the values themselves change, so that the resulting model is equivalent to the one built with original data. The presented formal approach is especially useful when the knowledge discovery process is outsourced. The application of the algorithm is demonstrated through an example.

Keywords

algoritem podatkovne varnosti;klasifikacijski algoritem;podatkovno rudarjenje;odkrivanje znanja;varnost podatkov;data protection algorithm;classification algorithm;disclosure control;data mining;knowledge discovery;data security;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
UDC: 004.6.05
COBISS: 8256534 Link will open in a new window
ISSN: 0868-4952
Views: 1741
Downloads: 44
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Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary keywords: algoritem podatkovne varnosti;klasifikacijski algoritem;podatkovno rudarjenje;odkrivanje znanja;varnost podatkov;
URN: URN:SI:UM:
Pages: str. 277-288
Volume: ǂVol. ǂ14
Issue: ǂno. ǂ3
Chronology: 2003
ID: 8718858
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