Associative classification rules hiding for privacy preservation
Sensitive patterns could be discovered from the given data when the data are shared between business partners. Such patterns should not be disclosed to the other parties. However, the shared data should be credible and trustworthy for their 'quality'. In this paper, we address a problem of...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2014
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| Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-79956073972&partnerID=40&md5=bb36d3810623aa32abcd2cac40d50630 http://cmuir.cmu.ac.th/handle/6653943832/1574 |
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| Institution: | Chiang Mai University |
| Language: | English |