Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/292125
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dc.coverage.spatial
dc.date.accessioned2020-07-20T10:47:05Z-
dc.date.available2020-07-20T10:47:05Z-
dc.identifier.urihttp://hdl.handle.net/10603/292125-
dc.description.abstractnewline
dc.format.extentXII, 122
dc.languageEnglish
dc.relationRajani, R. and Sudha, T. 2019, Development of Hybrid Techniques for Missing Data Imputation and Classification Using Kernel Clustering and Optimization based Neural Networks , Ph.D. Thesis, Sri Padmavati Mahila Visvavidyalayam, Tirupati.
dc.rightsself
dc.titleDevelopment of Hybrid Techniques for Missing Data Imputation and Classification Using Kernel Clustering and Optimization based Neural Networks
dc.title.alternative
dc.creator.researcherR. Rajani
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideT. Sudha
dc.publisher.placeTirupati
dc.publisher.universitySri Padmavathi Womens University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered13/12/2012
dc.date.completed2018
dc.date.awarded21/03/2019
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File275.1 kBAdobe PDFView/Open
02_certificate.pdf261.88 kBAdobe PDFView/Open
03_preliminary pages.pdf411.54 kBAdobe PDFView/Open
04_chapter1.pdf359.31 kBAdobe PDFView/Open
05_chapter2.pdf385.22 kBAdobe PDFView/Open
06_chapter3.pdf1.09 MBAdobe PDFView/Open
07_chapter4.pdf1.25 MBAdobe PDFView/Open
08_chapter5.pdf573.19 kBAdobe PDFView/Open
80_recommendation.pdf479.04 kBAdobe PDFView/Open


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