Privacy preserving data mining based on geometrical data transformation method (GDTM) and k-means clustering algorithm
In current era of sharing unlimited digital information via the network, protecting the privacy of information is crucial even during the data mining process due to a high possibility of the information security risks such as being abused or leakage. Such problems motivate the research in Privacy Pr...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
International Journal of Innovative Computing (IJIC)
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/82160/ https://doi.org/10.11113/ijic.v8n2.174 |
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