Abstract
In view of the current privacy protection mining algorithm existing the defects, such as data protection level is not high, transaction database of rules loss rate is bigger problems, paper proposes an improved association rules privacy protection algorithm, to better solve the problems of the association rules privacy protection. In the privacy of the same rate, improve the privacy information protected extent and reduce the rules loss of the transaction database, to greater extent to privacy protection. The simulation results show that, the improved privacy protection association rule mining algorithm in data protection extent has better privacy than the original algorithm, and generated the loss rate and dissimilarity more lowly.
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© 2012 Springer-Verlag Berlin Heidelberg
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Chen, Y., Li, Q., He, L. (2012). An Improved Association Rule Privacy Protection Algorithm Research. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34038-3_31
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DOI: https://doi.org/10.1007/978-3-642-34038-3_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34037-6
Online ISBN: 978-3-642-34038-3
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