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Is Data Cleaning and the Testing of Assumptions still relevant in the 21st Century? [PDF]
Frontiers in Psychology, 2013 Jason W Osborne
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Cleaning Data With Selection Rules
IEEE Access, 2022 In this paper, we propose and study a type of tuple-level constraint that arises from the selection operator $\sigma $ of relational algebra and that closely resembles the concepts of tuple-level denial constraints.
Toon Boeckling +2 more
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LR-BCA: Label Ranking for Bridge Condition Assessment
IEEE Access, 2021 Bridge condition assessment (BCA) plays an important role in modern bridge management. Existing assessment methods are time-consuming, labor-intensive and error-prone. The use of machine learning for BCA can effectively solve the above problems. However,
Kai Wang, Tong Ruan, Faxiang Xie
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Establishing a sorting protocol for healthcare databases
Journal of Public Health Research, 2021 Background: Health information records in many countries, especially developing countries, are still paper based. Compared to electronic systems, paper-based systems are disadvantageous in terms of data storage and data extraction.
Elie Ghabi +7 more
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Data, 2021 It is recognized that the performance of any prediction model is a function of several factors. One of the most significant factors is the adopted preprocessing techniques.
Esra’a Alshdaifat +4 more
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Exploratory Data Mining and Data Cleaning
Journal of Statistical Software, 2004 s not available for ...
Nicholas Cox
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A revival of integrity constraints for data cleaning [PDF]
, 2008 Integrity constraints, a.k.a . data dependencies, are being widely used for improving the quality of schema .
Fan, Wenfei, Geerts, Floris, Jia, Xibei
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A Protocol for Collecting Burned Area Time Series Cross-Check Data
Fire, 2022 Data on wildfire growth are useful for multiple research purposes but are frequently unavailable and often have data quality problems. For these reasons, we developed a protocol for collecting daily burned area time series from the InciWeb website ...
Harry R. Podschwit +2 more
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Data Validation Infrastructure for R
Journal of Statistical Software, 2021 Checking data quality against domain knowledge is a common activity that pervades statistical analysis from raw data to output. The R package validate facilitates this task by capturing and applying expert knowledge in the form of validation rules ...
Mark P. J. van der Loo, Edwin de Jonge
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Interval model of a wind turbine power curve
Frontiers in Energy Research, 2023 The wind turbine power curve model is critical to a wind turbine’s power prediction and performance analysis. However, abnormal data in the training set decrease the prediction accuracy of trained models.
Kai Zhou +9 more
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