Analytical Algebra: Extension of Relational Algebra
| Authors | |
|---|---|
| Year of publication | 2022 |
| Type | Article in Proceedings |
| Conference | 33rd International Conference on Database and Expert Systems Applications (DEXA) |
| MU Faculty or unit | |
| Citation | |
| web | https://link.springer.com/chapter/10.1007/978-3-031-12426-6_25 |
| Doi | http://dx.doi.org/10.1007/978-3-031-12426-6_25 |
| Keywords | Analytical algebra;Relational algebra;Analytical operator |
| Description | 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. |
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