Machine learning and data mining approaches for computational analysis of tumor classification based on micro array gene expression data

Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/30972

Full metadata record

DC Field	Value	Language
dc.coverage.spatial	Computer Science	en_US
dc.date.accessioned	2014-12-17T06:28:43Z	-
dc.date.available	2014-12-17T06:28:43Z	-
dc.date.issued	2014-12-17	-
dc.identifier.uri	http://hdl.handle.net/10603/30972	-
dc.description.abstract	Abstract available	en_US
dc.format.extent	204p.	en_US
dc.language	English	en_US
dc.relation	No. of references 115	en_US
dc.rights	university	en_US
dc.title	Machine learning and data mining approaches for computational analysis of tumor classification based on micro array gene expression data	en_US
dc.title.alternative	Machine learning and data mining approaches for computational analysis of tumor classification based on micro-array gene expression data	en_US
dc.creator.researcher	Nookala, Gopala Krishna Murthy	en_US
dc.subject.keyword	Data mining	en_US
dc.subject.keyword	Gene Expression Data	en_US
dc.subject.keyword	Machine Learning	en_US
dc.subject.keyword	Tumor Classification	en_US
dc.description.note	Appendix 155-193, References 194-204	en_US
dc.contributor.guide	Raju, O Naga	en_US
dc.publisher.place	Guntur	en_US
dc.publisher.university	Acharya Nagarjuna University	en_US
dc.publisher.institution	Department of Computer Science and Engineering	en_US
dc.date.registered	n.d.	en_US
dc.date.completed	2013	en_US
dc.date.awarded	n.d.	en_US
dc.format.dimensions	-	en_US
dc.format.accompanyingmaterial	None	en_US
dc.type.degree	Ph.D.	en_US
dc.source.inflibnet	INFLIBNET	en_US
Appears in Departments:	Department of Computer Science & Engineering

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File	Description	Size	Format
01_title.pdf	Attached File	53.05 kB	Adobe PDF	View/Open
02_dedication.pdf		12.72 kB	Adobe PDF	View/Open
03_declaration.pdf		16.67 kB	Adobe PDF	View/Open
04_certificate.pdf		45.31 kB	Adobe PDF	View/Open
05_acknowledgement.pdf		21.14 kB	Adobe PDF	View/Open
06_content.pdf		106.51 kB	Adobe PDF	View/Open
07_abstract.pdf		16.91 kB	Adobe PDF	View/Open
08_chapter 1.pdf		1.43 MB	Adobe PDF	View/Open
09_chapter 2.pdf		1.44 MB	Adobe PDF	View/Open
10_chapter 3.pdf		772.03 kB	Adobe PDF	View/Open
11_chapter 4.pdf		654.94 kB	Adobe PDF	View/Open
12_chapter 5.pdf		20.98 kB	Adobe PDF	View/Open
13_appendix.pdf		1.15 MB	Adobe PDF	View/Open
14_references.pdf		5.08 MB	Adobe PDF	View/Open

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