Title : ENORMA An effective privacy preserving heterogeneous classifier framework for distributed data mining

Type of Material: Thesis
Title: ENORMA An effective privacy preserving heterogeneous classifier framework for distributed data mining
Researcher: Urmela, S.
Guide: Nandhini, M.
Department: Department of Computer Science
Publisher: Pondicherry University, Puducherry
Place: Pondicherry
Year: 2019
Language: English
Subject: Engineering and Technology
Computer Science Information Systems
Data mining
Normalization and mapping
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Science, Pondicherry University, Puducherry, Pondicherry; 2019
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_450960
040__|aPNDI_605104|dIN-AhILN
041__|aeng
100__|aUrmela, S.|eResearcher
110__|aDepartment of Computer Science|bPondicherry University, Puducherry|dPondicherry|ein
245__|aENORMA An effective privacy preserving heterogeneous classifier framework for distributed data mining
260__|aPondicherry|bPondicherry University, Puducherry|c2019
300__|dDVD|axvii, 139 p.
502__|bPhD|cDepartment of Computer Science, Pondicherry University, Puducherry, Pondicherry|d2019
650__|aComputer Science and Information Technology|2UGC
650__|aEngineering and Technology|2AIU
653__|aEngineering and Technology
653__|aComputer Science Information Systems
653__|aData mining
653__|aNormalization and mapping
700__|aNandhini, M.|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/378133|yShodhganga
905__|afromsg

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