Study and analysis of outlier detection techniques in high-dimensional data
| dc.contributor.author | Wahid, Abdul | |
| dc.date.accessioned | 2022-01-18T04:11:22Z | |
| dc.date.available | 2022-01-18T04:11:22Z | |
| dc.date.issued | 2021-10 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/2113 | |
| dc.language.iso | en | en_US |
| dc.publisher | Indian Institute of Technology (Indian School of Mines) Dhanbad | en_US |
| dc.subject | Outlier detection | en_US |
| dc.subject | High-dimensional Data | en_US |
| dc.subject | Electricity-theft Detection | en_US |
| dc.subject | KNN kernel density | en_US |
| dc.subject | Categorical attributes | en_US |
| dc.subject | Natural neighbour | en_US |
| dc.subject | Ph.D | en_US |
| dc.subject | PH1862 | en_US |
| dc.subject | CSE | en_US |
| dc.title | Study and analysis of outlier detection techniques in high-dimensional data | en_US |
| dc.type | Thesis | en_US |
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