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A survey of uncertain data management.

Authors :
Li, Lingli
Wang, Hongzhi
Li, Jianzhong
Gao, Hong
Source :
Frontiers of Computer Science; Feb2020, Vol. 14 Issue 1, p162-190, 29p
Publication Year :
2020

Abstract

Uncertain data are data with uncertainty information, which exist widely in database applications. In recent years, uncertainty in data has brought challenges in almost all database management areas such as data modeling, query representation, query processing, and data mining. There is no doubt that uncertain data management has become a hot research topic in the field of data management. In this study, we explore problems in managing uncertain data, present state-of-the-art solutions, and provide future research directions in this area. The discussed uncertain data management techniques include data modeling, query processing, and data mining in uncertain data in the forms of relational, XML, graph, and stream. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20952228
Volume :
14
Issue :
1
Database :
Complementary Index
Journal :
Frontiers of Computer Science
Publication Type :
Academic Journal
Accession number :
138850859
Full Text :
https://doi.org/10.1007/s11704-017-7063-z