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Paper Details
Paper Title
Privacy Prevervation in Clustering with Distributed Database
Authors
  Javed H. Metar
Abstract
Data mining has been a popular research area for more than a decade due to its vast spectrum of application. In this we analyzed privacy preserving techniques for clustering in distributed environment. In this work, we analyzed and compare following methods: 1) Principal Component Analysis (PCA) 2) Dimensionality Reduction Based Transformation (DRBT) 3) Shamir’s Secret Sharing (SSS).
Keywords- Data mining; Privacy; distributed database; security; PCA; DRBT; secret sharing.
Publication Details
Unique Identification Number - IJEDR1401066Page Number(s) - 380-384Pubished in - Volume 2 | Issue 1 | March 2014DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Javed H. Metar,   "Privacy Prevervation in Clustering with Distributed Database", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 1, pp.380-384, March 2014, Available at :http://www.ijedr.org/papers/IJEDR1401066.pdf
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