Data redundancy removal in object databases using clustering techniques
| dc.contributor.author | Raichaudhuri, Rittika | |
| dc.date.accessioned | 2022-07-14T12:01:07Z | |
| dc.date.available | 2022-07-14T12:01:07Z | |
| dc.date.issued | 2016-04 | |
| dc.description | Submitted in partial fulfillment of the requirements for the degree of M. Tech (Artificial Intelligence and Artificial Neural Network) | en_US |
| dc.identifier.citation | Under the guidance of Mr. Anil Kumar, UPES | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/4003 | |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Computer Science & Engineering, UPES, Dehradun | en_US |
| dc.subject | Dissertation | en_US |
| dc.subject | Computer Science Engineering | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Artificial Neural Network | en_US |
| dc.subject | Redundancy Removal | en_US |
| dc.subject | Image Databases | en_US |
| dc.title | Data redundancy removal in object databases using clustering techniques | en_US |
| dc.type | Thesis | en_US |