Overview of data quality challenges in the context of Big Data

By Suraj Juddoo. 2015

54 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Information Systems, Management Science and Operations Research

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In Management Science and Operations Research

1. Mohamed Adel Serhani

Citations in the corpus

• A Survey on Cleaning Dirty Data Using Machine Learning Paradigm for Big Data Analytics (2018, background): “Data accuracy, completeness and consistency are most popular initiatives to address Data quality [19],[20], beside other dimensions like Accessibility, Consistent representation, timeliness, Understandability, Relevancy, etc. [19].”
• Big Data Quality: A Quality Dimensions Evaluation (2016, background): “In [1], the author quoted that data quality measurement metrics tend to evaluate a binary results correct or incorrect or a value between 0 and 100 (100% is the best), and use universal formulas to compute these attributes.”