Melly, Angela and Rosa, Paulina (2019) An Implementation of ECODB Algorithm to Identify Outliers on the Data of National Exam Scores, Integrity Index, and Accreditation Level of Senior High Schools in Yogyakarta. In: Proceedings of the 1st International Conference on Science and Technology for an Internet of Things, 20 October 2018, Yogyakarta, Indonesia.
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Abstract
Outlier detection is one field of research in data mining. One of the outlier detection algorithms is the Enhanced Class Outlier Distance Based (ECODB) algorithm. In this paper, the ECODB algorithm is used to identify outliers on national exam results, integrity index and accreditation level of seni
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 12:00 |
| Last Modified: | 17 Apr 2026 14:40 |
| URI: | http://eprints.eai.eu/id/eprint/22155 |
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