1. Shodhganga@INFLIBNET
  2. Pondicherry University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/378133
Title: ENORMA An effective privacy preserving heterogeneous classifier framework for distributed data mining
Researcher: Urmela, S.
Guide(s): Nandhini, M.
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
Data mining
Normalization and mapping
University: Pondicherry University
Completed Date: 2019
Abstract: newline
Pagination: xvii, 139 p.
URI: http://hdl.handle.net/10603/378133
Appears in Departments:Department of Computer Science

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01_tile.pdfAttached File107.25 kBAdobe PDFView/Open
02_certificate.pdf187.7 kBAdobe PDFView/Open
03_declaration.pdf92.53 kBAdobe PDFView/Open
04_acknowledgement.pdf12.05 kBAdobe PDFView/Open
05_abstract.pdf112.12 kBAdobe PDFView/Open
06_contents.pdf191.96 kBAdobe PDFView/Open
07_figures.pdf293.55 kBAdobe PDFView/Open
08_tables.pdf288.16 kBAdobe PDFView/Open
09_abbrevations.pdf284.63 kBAdobe PDFView/Open
10_chapter1.pdf611.44 kBAdobe PDFView/Open
11_chapter2.pdf1.25 MBAdobe PDFView/Open
12_chapter3.pdf1.26 MBAdobe PDFView/Open
13_chapter4.pdf748.28 kBAdobe PDFView/Open
14_chapter5.pdf2.92 MBAdobe PDFView/Open
15_chapter6.pdf4.31 MBAdobe PDFView/Open
16_chapter7.pdf469.74 kBAdobe PDFView/Open
17_bibliography.pdf272.3 kBAdobe PDFView/Open
18_publications.pdf466.34 kBAdobe PDFView/Open
19_vitae.pdf178.29 kBAdobe PDFView/Open
80_recommendation.pdf572.75 kBAdobe PDFView/Open
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