Automatic, semi-automatic and manual validation of urban drainage data
Само за регистроване кориснике
2010
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Advances in sensor technology and the possibility of automated long distance data transmission have made continuous measurements the preferable way of monitoring urban drainage processes. Usually, the collected data have to be processed by an expert in order to detect and mark the wrong data, remove them and replace them with interpolated data. In general, the first step in detecting the wrong, anomaly data is called the data quality assessment or data validation. Data validation consists of three parts: data preparation, validation scores generation and scores interpretation. This paper will present the overall framework for the data quality improvement system, suitable for automatic, semi-automatic or manual operation. The first two steps of the validation process are explained in more detail, using several validation methods on the same set of real-case data from the Belgrade sewer system. The final part of the validation process, which is the scores interpretation, needs to be furt...her investigated on the developed system.
Кључне речи:
data quality / data validation / urban drainage monitoring dataИзвор:
Water Science and Technology, 2010, 62, 5, 1013-1021
DOI: 10.2166/wst.2010.350
ISSN: 0273-1223
PubMed: 20818040
WoS: 000281988300004
Scopus: 2-s2.0-78049353695
Колекције
Институција/група
GraFarTY - JOUR AU - Branisavljević, Nemanja AU - Prodanović, Dušan AU - Pavlović, Dragutin PY - 2010 UR - https://grafar.grf.bg.ac.rs/handle/123456789/301 AB - Advances in sensor technology and the possibility of automated long distance data transmission have made continuous measurements the preferable way of monitoring urban drainage processes. Usually, the collected data have to be processed by an expert in order to detect and mark the wrong data, remove them and replace them with interpolated data. In general, the first step in detecting the wrong, anomaly data is called the data quality assessment or data validation. Data validation consists of three parts: data preparation, validation scores generation and scores interpretation. This paper will present the overall framework for the data quality improvement system, suitable for automatic, semi-automatic or manual operation. The first two steps of the validation process are explained in more detail, using several validation methods on the same set of real-case data from the Belgrade sewer system. The final part of the validation process, which is the scores interpretation, needs to be further investigated on the developed system. T2 - Water Science and Technology T1 - Automatic, semi-automatic and manual validation of urban drainage data EP - 1021 IS - 5 SP - 1013 VL - 62 DO - 10.2166/wst.2010.350 ER -
@article{ author = "Branisavljević, Nemanja and Prodanović, Dušan and Pavlović, Dragutin", year = "2010", abstract = "Advances in sensor technology and the possibility of automated long distance data transmission have made continuous measurements the preferable way of monitoring urban drainage processes. Usually, the collected data have to be processed by an expert in order to detect and mark the wrong data, remove them and replace them with interpolated data. In general, the first step in detecting the wrong, anomaly data is called the data quality assessment or data validation. Data validation consists of three parts: data preparation, validation scores generation and scores interpretation. This paper will present the overall framework for the data quality improvement system, suitable for automatic, semi-automatic or manual operation. The first two steps of the validation process are explained in more detail, using several validation methods on the same set of real-case data from the Belgrade sewer system. The final part of the validation process, which is the scores interpretation, needs to be further investigated on the developed system.", journal = "Water Science and Technology", title = "Automatic, semi-automatic and manual validation of urban drainage data", pages = "1021-1013", number = "5", volume = "62", doi = "10.2166/wst.2010.350" }
Branisavljević, N., Prodanović, D.,& Pavlović, D.. (2010). Automatic, semi-automatic and manual validation of urban drainage data. in Water Science and Technology, 62(5), 1013-1021. https://doi.org/10.2166/wst.2010.350
Branisavljević N, Prodanović D, Pavlović D. Automatic, semi-automatic and manual validation of urban drainage data. in Water Science and Technology. 2010;62(5):1013-1021. doi:10.2166/wst.2010.350 .
Branisavljević, Nemanja, Prodanović, Dušan, Pavlović, Dragutin, "Automatic, semi-automatic and manual validation of urban drainage data" in Water Science and Technology, 62, no. 5 (2010):1013-1021, https://doi.org/10.2166/wst.2010.350 . .