PESCHEL, Jakub, Michal BATKO and Pavel ZEZULA. Analytical Algebra: Extension of Relational Algebra. Online. In Strauss, C., Cuzzocrea, A., Kotsis, G., Tjoa, A.M., Khalil, I. 33rd International Conference on Database and Expert Systems Applications (DEXA). Cham: Springer International Publishing, 2022, p. 284-290. ISBN 978-3-031-12425-9. Available from: https://dx.doi.org/10.1007/978-3-031-12426-6_25.
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Basic information
Original name Analytical Algebra: Extension of Relational Algebra
Authors PESCHEL, Jakub (203 Czech Republic, guarantor, belonging to the institution), Michal BATKO (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution).
Edition Cham, 33rd International Conference on Database and Expert Systems Applications (DEXA), p. 284-290, 7 pp. 2022.
Publisher Springer International Publishing
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/22:00126485
Organization unit Faculty of Informatics
ISBN 978-3-031-12425-9
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-031-12426-6_25
UT WoS 000877002300025
Keywords in English Analytical algebra;Relational algebra;Analytical operator
Tags DISA, firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/3/2023 11:49.
Abstract
In the context of contemporary data, the processing of information is crucial. This paper proposes an extension to the traditional database relational algebra, which enriches the data model and provides additional complex-data operations. Specifically, we focus on analytical operators from the areas of data mining and similarity search, such as frequent pattern mining or similarity search queries. The proposed approach can be easily extended by additional algebraic operators. To demonstrate the capabilities of our analytical algebra, we show three practical use cases with different levels of the expression complexity.
Links
EF16_019/0000822, research and development projectName: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur
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