Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/6163
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ridzuan, F. | en_US |
dc.contributor.author | Zainon, W. M. N. W. | en_US |
dc.date.accessioned | 2024-05-27T04:47:54Z | - |
dc.date.available | 2024-05-27T04:47:54Z | - |
dc.date.issued | 2024 | - |
dc.identifier.issn | 18770509 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/6163 | - |
dc.description | Scopus | en_US |
dc.description.abstract | Big Data wave has led to a rapid increase in the amount of data being collected by organizations. While the accuracy and reliability of prediction models are often prioritized, the quality of the collected data is frequently overlooked. Poor data quality can result in the common problem of ‘garbage in, garbage out'. Traditional measures of data quality, such as accuracy, consistency, completeness, and timeliness, are no longer adequate in the era of Big Data. Therefore, this paper proposes a taxonomy of data quality dimensions specifically for Big Data, addressing emerging challenges by formulating 20 dimensions and categorizing them into four distinct categories. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier B.V. | en_US |
dc.subject | Big data | en_US |
dc.subject | Data management | en_US |
dc.subject | Data quality | en_US |
dc.title | A Review on Data Quality Dimensions for Big Data | en_US |
dc.type | International | en_US |
dc.relation.conference | Proceedia Computer Science | en_US |
dc.identifier.doi | 10.1016/j.procs.2024.03.008 | - |
dc.description.page | 341-348 | en_US |
dc.volume | 234 | en_US |
dc.relation.seminar | 7th Information Systems International Conference, ISICO 2023 | en_US |
dc.date.seminarstartdate | 2023-07-26 | - |
dc.date.seminarenddate | 2023-07-28 | - |
dc.description.placeofseminar | Washington | en_US |
dc.description.type | Indexed Proceedings | en_US |
dc.contributor.correspondingauthor | fakhitah.r@umk.edu.my | en_US |
item.languageiso639-1 | en | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
item.openairetype | International | - |
crisitem.author.dept | Universiti Malaysia Kelantan | - |
Appears in Collections: | Faculty of Data Science and Computing - Proceedings |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S187705092400365X-main.pdf | A Review on Data Quality Dimensions for Big Data | 610.44 kB | Adobe PDF | View/Open |
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