Algebra for Complex Analysis of Data

D 2020

Algebra for Complex Analysis of Data

PESCHEL, Jakub, Michal BATKO and Pavel ZEZULA

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

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

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

Abstract

V originále

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 project

Name: Vyhledávání, analytika a anotace datových toků lidských pohybů

Investor: Czech Science Foundation

Citovat

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.

@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 and 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, 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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