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Big Data Validity Evaluation Based on MMTD
Joint Authors
Zhou, Ningning
Huang, Guofang
Zhong, Suyang
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-10
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Big data has been studied extensively in recent years.
With the increase in data size, data quality becomes a priority.
Evaluation of data quality is important for data management, which influences data analysis and decision making.
Data validity is an important aspect of data quality evaluation.
Based on 3V properties of big data, dimensions that have a major influence on data validity in a big data environment are analyzed.
Each data validity dimension is analyzed qualitatively using medium logic.
The measuring of medium truth degree is used to propose models to measure single and multiple dimensions of big data validity.
The validity evaluation method based on medium logic is more reasonable and scientific than general methods.
American Psychological Association (APA)
Zhou, Ningning& Huang, Guofang& Zhong, Suyang. 2018. Big Data Validity Evaluation Based on MMTD. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1209127
Modern Language Association (MLA)
Zhou, Ningning…[et al.]. Big Data Validity Evaluation Based on MMTD. Mathematical Problems in Engineering No. 2018 (2018), pp.1-6.
https://search.emarefa.net/detail/BIM-1209127
American Medical Association (AMA)
Zhou, Ningning& Huang, Guofang& Zhong, Suyang. Big Data Validity Evaluation Based on MMTD. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1209127
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209127