In this paper, we propose a sensor data cleansing approach using the relational-based technologies, including constraints, triggers and granularity-based data ...
Aug 28, 2015 · The proposed approach is simple but effective to cleanse different types of dirty data, including delayed data, incomplete data, incorrect data, ...
The proposed approach is simple but effective to cleanse different types of dirty data, including delayed data, incomplete data, incorrect data, duplicate data ...
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Nadeem Iftikhar , Xiufeng Liu, Finn Ebertsen Nordbjerg : Relational-Based Sensor Data Cleansing. ADBIS (Short Papers and Workshops) 2015: 108-118.
Relational-Based Sensor Data Cleansing · List of references · Publications that cite this publication.
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This paper proposes a graph neural network-based data-cleaning method. In the first stage, a group anomaly detector is designed to identify the presence of ...
Jun 3, 2021 · This paper mainly studies the sensor data management system based on distributed storage, builds a Hadoop cluster, proposes a storage structure that combines ...
Aug 4, 2020 · The relational based sensor data cleaning approach makes use of the deployed technology on sensors, such as a light-weight RDBMS and the ...
In this paper, we propose an in-network outlier cleaning approach, in- cluding wavelet based outlier correction and neighboring DTW(Dynamic Time Warping).