| Type of Material: | Thesis |
| Title: | Enhanced K means clustering for patient report outcomes |
| Researcher: | Anbarasi M.S. |
| Guide: | Mehata, K.M. |
| Department: | Faculty of Information and Communication Engineering |
| Publisher: | Anna University |
| Place: | Chennai |
| Language: | English |
| Subject: | Data mining clustering hospital information systems biomedical dna analysis k-mean algorithm |
| Dissertation/Thesis Note: | PhD |
| Fulltext: | Shodhganga |
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| 001 | 257104 | |
| 003 | IN-AhILN | |
| 005 | 2013-12-04 10:46:04 | |
| 008 | __ | 131003t####||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_257104 |
| 040 | __ | |aANNA_600025|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aAnbarasi M.S.|eResearcher |
| 110 | __ | |aFaculty of Information and Communication Engineering|bAnna University|dChennai |
| 245 | __ | |aEnhanced K means clustering for patient report outcomes |
| 260 | __ | |aChennai|bAnna University |
| 502 | __ | |bPhD |
| 520 | __ | |aData Mining has become one of the most exciting and fastest growing fields in Information Technology due to an unprecedented growth-rate at which data is being collected through the World Wide Web and stored electronically, to be applicable in almost al |
| 653 | __ | |aData mining clustering hospital information systems biomedical dna analysis k-mean algorithm |
| 700 | __ | |aMehata, K.M.|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/11704|yShodhganga |
| 905 | __ | |anotification |
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