1. Shodhganga@INFLIBNET
  2. Mahatma Gandhi University
  3. School of Computer Sciences
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/525290
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DC FieldValueLanguage
dc.coverage.spatialComputer science
dc.date.accessioned2023-11-14T11:54:37Z-
dc.date.available2023-11-14T11:54:37Z-
dc.identifier.urihttp://hdl.handle.net/10603/525290-
dc.description.abstractnewline
dc.format.extentxvi, 104p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleSwarm Intelligence Based Approaches to Feature Selection
dc.title.alternative
dc.creator.researcherLeena C Sekhar
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.noteBibliography p.90-103 Appendices p.104
dc.contributor.guideVijayakumar, R
dc.publisher.placeKottayam
dc.publisher.universityMahatma Gandhi University
dc.publisher.institutionSchool of Computer Sciences
dc.date.registered2016
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computer Sciences

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File141.99 kBAdobe PDFView/Open
02_prelim pages.pdf1.02 MBAdobe PDFView/Open
03_contents.pdf444.72 kBAdobe PDFView/Open
04_abstract.pdf125.4 kBAdobe PDFView/Open
05_chapter 1.pdf162.65 kBAdobe PDFView/Open
06_chapter 2.pdf328.58 kBAdobe PDFView/Open
07_chapter 3.pdf388.38 kBAdobe PDFView/Open
08_chapter 4.pdf396.48 kBAdobe PDFView/Open
09_chapter 5.pdf386.16 kBAdobe PDFView/Open
10_annexures.pdf221.12 kBAdobe PDFView/Open
80_recommendation.pdf252.45 kBAdobe PDFView/Open
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