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@inproceedings{1683761,
author = {Peschel, Jakub and Batko, Michal and Zezula, Pavel},
address = {Cham},
booktitle = {International Conference on Database and Expert Systems Applications},
doi = {http://dx.doi.org/10.1007/978-3-030-59003-1_12},
editor = {Hartmann S., Küng J., Kotsis G., Tjoa A.M., Khalil I.},
keywords = {data analysis; analytical algebra; similarity; pattern mining},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Cham},
isbn = {978-3-030-59002-4},
pages = {177-187},
publisher = {Springer International Publishing},
title = {Algebra for Complex Analysis of Data},
url = {https://link.springer.com/chapter/10.1007/978-3-030-59003-1_12#citeas},
year = {2020}
}
TY - JOUR
ID - 1683761
AU - Peschel, Jakub - Batko, Michal - Zezula, Pavel
PY - 2020
TI - Algebra for Complex Analysis of Data
PB - Springer International Publishing
CY - Cham
SN - 9783030590024
KW - data analysis
KW - analytical algebra
KW - similarity
KW - pattern mining
UR - https://link.springer.com/chapter/10.1007/978-3-030-59003-1_12#citeas
N2 - 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.
ER -
PESCHEL, Jakub, Michal BATKO a Pavel ZEZULA. Algebra for Complex Analysis of Data. Online. In Hartmann S., Küng J., Kotsis G., Tjoa A.M., Khalil I. \textit{International Conference on Database and Expert Systems Applications}. Cham: Springer International Publishing, 2020, s.~177-187. ISBN~978-3-030-59002-4. Dostupné z: https://dx.doi.org/10.1007/978-3-030-59003-1\_{}12.
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