Results 181 to 190 of about 3,444 (214)
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Knowledge Based Data Cleaning for Data Warehouse Quality

2011
This paper describes an approach for improvement the quality of data warehouse and operational databases with using knowledge. The benefit of this approach is three-folds. First, the incorporation of knowledge into data cleaning is successful to meet the user’s demands and then the data cleaning can be expanded and modified.
Louardi Bradji, Mahmoud Boufaïda
openaire   +2 more sources

Evaluation of a rapid quality control method for endoscope cleaning

Journal of Hospital Infection
Over the past 30 years, endoscope processing has improved significantly, guided by various standards and recommendations. None the less, contamination remains an issue, with 21.1% of endoscopes exceeding acceptable thresholds in 2021. Cleaning, including pre-treatment, is identified as critical for successful endoscope processing.
S. Bulot, L. Pineau
openaire   +2 more sources

Optimisation of the operating parameters of the vibration cleaning machine to improve the quality of seed cleaning

Scientific Reports of the National University of Life and Environmental Sciences of Ukraine
The relevance of the study was determined by the need to improve the efficiency of grain material purification in the conditions of energy-limited agro-processing enterprises of Ukraine. The purpose of the study was to determine the optimal kinematic parameters of the oscillatory mode of operation of the machine, considering the specifics of cleaning ...
Yurii Reva   +2 more
openaire   +1 more source

Quality of Environment and Clean Manufacturing

2020
Sameer Lamichaney   +3 more
openaire   +1 more source

Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle

Sensors, 2021
Hsing‐Cheng Chang   +2 more
exaly  

Cleaning, Sanitizing and Microbiological Quality

2000
Robert T. Marshall, W. S. Arbuckle
openaire   +1 more source

Data quality management and data cleaning

2016
Today´s enterprises are often challenged by managing a large amount of data used in their business operation. Assurance and maintenance of adequate data quality level are important aspects of data quality management due to many reasons. On the one hand, the adequate data quality level represents a competitive advantage, and on the other hand, low data ...
openaire  

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