The detailed introduction of the outlier data analysis dataset.
dataset
posted on 2024-03-18, 17:37 authored by Qirong Lu, Jian Zou, Yingya Ye, Zexin WangThe detailed introduction of the outlier data analysis dataset.
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water quality monitoringwater quality indicatorsusing 7 methodsextreme values assistscausing secondary pollutionaverage measurement errors23 %, 2five historical periodsexperiment results show42 %, 098 %, 2national standard method92 %, 3data analysis systemanalysis system basedhistorical dataquartile methodfive sensors98 %.92 %.data trendsxlink ">specific timerepeated measurementsrelatively stablereal timepaper analyzesmaking decisionsli rivereffectively addressearly warningdistribution characteristicsdifferent sections24 %.000 records
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