Algebra for Complex Analysis of Data

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Publikace nespadá pod Pedagogickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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PESCHEL Jakub BATKO Michal ZEZULA Pavel

Rok publikování 2020
Druh Článek ve sborníku
Konference International Conference on Database and Expert Systems Applications
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www https://link.springer.com/chapter/10.1007/978-3-030-59003-1_12#citeas
Doi http://dx.doi.org/10.1007/978-3-030-59003-1_12
Klíčová slova data analysis; analytical algebra; similarity; pattern mining
Popis In data science, the process of development focuses on the improvement of methods for individual data analytical tasks. However, their combination is not properly researched. We believe that this situation is caused by a missing framework, that would focus solely on data analytical tasks, instead of complicated transformation between individual methods. In this paper, a new analytical algebra is defined. This algebra is based on a flat structure of transaction file and operations over it. As a part of the paper, definitions of several data analytical tasks are proposed. Algebra is recursive and extendable. As an example of usability of the algebra, one complex analytical task created by a combination of analytical operators is described.
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