Datasets is very challenging task in the systems. It is real processing. Data mining technique classification is one of the most important technique, in this paper is to classify the data as improve the classification accuracy, we have used ensemble model for classification of data. Randomization process added to privacy sensitive data after next process reconstruction to the main data from the perturbed data. Principal Component Analysis (PCA) is used to preserve the variability in the data. Rotation transformation can enlarge the increase the base classifiers and improve the accuracy of the ensemble classifier. In this paper, we analyses a rotation perturbation technique for PCA find eigenvector, load line plot and Zscore-Normalization method using to dimension in stream mining.

Kalyani Kathwadia, Aniket Patel

Data mining, Classification, Privacy, PCA, Z score-Normalization

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Publication Details
Published in : Volume 4 | Issue 8 | May-June - 2018 Date of Publication Print ISSN Online ISSN 2018-06-30 2395-1990 2394-4099
Page(s)	Manuscript Number		Publisher
217-223	IJSRSET184861		Technoscience Academy
Cite This Article
Kalyani Kathwadia, Aniket Patel, "Rotation Perturbation Technique for Privacy Preserving in Data Stream Mining", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.217-223, May-June-2018. URL : http://ijsrset.com/IJSRSET184861.php