PESCHEL, Jakub, Michal BATKO and Pavel ZEZULA. Algebra for Complex Analysis of Data. Online. In Hartmann S., Küng J., Kotsis G., Tjoa A.M., Khalil I. International Conference on Database and Expert Systems Applications. Cham: Springer International Publishing, 2020, p. 177-187. ISBN 978-3-030-59002-4. Available from: https://dx.doi.org/10.1007/978-3-030-59003-1_12.
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Basic information
Original name Algebra for Complex Analysis of Data
Authors PESCHEL, Jakub (203 Czech Republic, guarantor, belonging to the institution), Michal BATKO (203 Czech Republic) and Pavel ZEZULA (203 Czech Republic).
Edition Cham, International Conference on Database and Expert Systems Applications, p. 177-187, 11 pp. 2020.
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/00216224:14330/20:00114351
Organization unit Faculty of Informatics
ISBN 978-3-030-59002-4
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-030-59003-1_12
UT WoS 000716713200012
Keywords in English data analysis; analytical algebra; similarity; pattern mining
Tags DISA, firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 29/4/2021 12:29.
Abstract
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.
Links
GA19-02033S, research and development projectName: Vyhledávání, analytika a anotace datových toků lidských pohybů
Investor: Czech Science Foundation
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