A data-oriented approach for outlier detection
2019 ◽
Vol 7
(01)
◽
Keyword(s):
In this paper, characteristics of data obtained from the sensors (used in OpenSense project) are identified in order to build a data-oriented approach. This approach consists of application of Class Outliers: Distance Based (CODB) and Hoeffding tree algorithms. Subsequently, machine learning models were built to detect outliers in a sensor data stream. The approach presented in this paper may be used for developing methodologies for data-oriented outlier detection
Keyword(s):
2021 ◽
Vol 11
(3)
◽
pp. 1178-1199
Keyword(s):
2020 ◽
2021 ◽
Vol 18
(4)
◽
pp. 1-26
2020 ◽
Vol 2
(1)
◽
pp. 3-6
Keyword(s):
2018 ◽
Vol 13
(1)
◽
pp. 21
Keyword(s):
2021 ◽