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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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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