Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
A survey of database dependency concepts. / Bobrov, Nikita; Birillo, Anastasia; Chernishev, George.
в: CEUR Workshop Proceedings, Том 1864, 01.09.2017.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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TY - JOUR
T1 - A survey of database dependency concepts
AU - Bobrov, Nikita
AU - Birillo, Anastasia
AU - Chernishev, George
PY - 2017/9/1
Y1 - 2017/9/1
N2 - A database dependency is a formal concept which is used to describe patterns in data. These patterns are employed during data analysis, data cleansing, and schema normalization. There is about dozen of major dependency types. In this paper we survey these types of database dependencies employed in the relational databases. We start from the earliest ones - functional dependencies and conclude with the state-of-the-art findings. For each type we provide both formal and non-formal definitions and present an example and counterexample. We also briefly discuss extraction algorithms and possible use cases.
AB - A database dependency is a formal concept which is used to describe patterns in data. These patterns are employed during data analysis, data cleansing, and schema normalization. There is about dozen of major dependency types. In this paper we survey these types of database dependencies employed in the relational databases. We start from the earliest ones - functional dependencies and conclude with the state-of-the-art findings. For each type we provide both formal and non-formal definitions and present an example and counterexample. We also briefly discuss extraction algorithms and possible use cases.
UR - http://www.scopus.com/inward/record.url?scp=85025155912&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85025155912
VL - 1864
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
T2 - 2nd Conference on Software Engineering and Information Management, SEIM 2017
Y2 - 21 April 2017
ER -
ID: 35273252