Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/125269
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Management | |
dc.date.accessioned | 2017-01-11T10:02:02Z | - |
dc.date.available | 2017-01-11T10:02:02Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/125269 | - |
dc.description.abstract | None newline | |
dc.format.extent | 134p. | |
dc.language | English | |
dc.relation | - | |
dc.rights | university | |
dc.title | Evaluating optimal clustering techniques for efficient storage retrieval methods in large database using soft computing techniques | |
dc.title.alternative | - | |
dc.creator.researcher | Swati Sah | |
dc.subject.keyword | Clustering | |
dc.subject.keyword | Database | |
dc.subject.keyword | Hierarchical | |
dc.subject.keyword | Mining | |
dc.description.note | References Given | |
dc.contributor.guide | Ashutosh Gaur | |
dc.publisher.place | Pune | |
dc.publisher.university | Bharati Vidyapeeth Deemed University | |
dc.publisher.institution | Faculty of Management | |
dc.date.registered | n.d. | |
dc.date.completed | 2016 | |
dc.date.awarded | n.d. | |
dc.format.dimensions | - | |
dc.format.accompanyingmaterial | None | |
dc.type.degree | Ph.D. | |
dc.source.inflibnet | INFLIBNET | |
Appears in Departments: | Faculty of Management |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 81.57 kB | Adobe PDF | View/Open |
02_certificate.pdf | 99.09 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 102.7 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 89.52 kB | Adobe PDF | View/Open | |
05_list of tables figures.pdf | 98.3 kB | Adobe PDF | View/Open | |
06_contents.pdf | 94.46 kB | Adobe PDF | View/Open | |
07_chapter 1.pdf | 577.16 kB | Adobe PDF | View/Open | |
08_chapter 2.pdf | 684.17 kB | Adobe PDF | View/Open | |
09_chapter 3.pdf | 317.02 kB | Adobe PDF | View/Open | |
10_chapter 4.pdf | 1.9 MB | Adobe PDF | View/Open | |
11_chapter 5.pdf | 317.08 kB | Adobe PDF | View/Open |
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