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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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