Privacy Preserving Closed Frequent Pattern Mining
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 11, November 2015

Privacy Preserving Closed Frequent Pattern Mining

Anju Vijayan

Mining closed frequent item sets is one of the important problems in data mining. There exists a possibility of designing differentially private Frequent Itemset Mining (FIM) algorithm which can achieve high data utility, efficiency and high degree of privacy. Private Frequent Pattern mining algorithms have a preprocessing phase and mining phase. In the preprocessing phase a novel smart splitting algorithm is used for transforming the database. In the mining phase transaction splitting is done. Certain amount of noise is added to the output for enhancing privacy. The amount of noise added is considerably reduced.

Keywords: Frequent Itemset Mining, transaction splitting

Edition: Volume 4 Issue 11, November 2015

Pages: 1165 - 1168

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How to Cite this Article?

Anju Vijayan, "Privacy Preserving Closed Frequent Pattern Mining", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV151382, Volume 4 Issue 11, November 2015, 1165 - 1168

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