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Two new operations over extended index matrices and their applications in Big Data

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Konferencja
Federated Conference on Computer Science and Information Systems (17 ; 04-07.09.2022 ; Sofia, Bulgaria)
Języki publikacji
EN
Abstrakty
EN
The Index Matrices (IMs) are extensions of the matrices of algebra. Over the IMs different operations, relations and operators are defined. In the present paper, two new operations over IMs are defined and some of their properties are studied. An application of these operations for describing of Big Data procedure is discussed. Hortonworks Data Platform (HDP) is used to provide capabilities for data warehouse processing in the Big Data environment. Apache Hive is selected for data warehouse construction and querying. Firstly, data warehouse for product sells is implemented. The tables for employees, customers, products and product sells are created. Thereafter the new index matrix operations for difference between two IMs are executed for the first time in the Big Data environment. SQL queries are written to demonstrate the operations. The new index matrix operations are executed using SQL JOIN notation and logical operator NOT EXISTS.
Rocznik
Tom
Strony
1--6
Opis fizyczny
Bibliogr. 7 poz., wz., rys.
Twórcy
  • Dept. of Bioinformatics and Mathematical Modelling Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
  • Intelligent Systems Laboratory “Prof. Asen Zlatarov” University Burgas–8010, Bulgaria
  • Intelligent Systems Laboratory “Prof. Asen Zlatarov” University Burgas–8010, Bulgaria
Bibliografia
  • 1. Apache Hive, https://hive.apache.org/
  • 2. Atanassov K. Generalized index matrices, Comptes rendus de l’Academie Bulgare des Sciences, Vol. 40, 1987, No. 11, 15–18.
  • 3. Atanassov, K., Index Matrices: Towards an Augmented Matrix Calculus, Springer, Cham, 2014. 11
  • 4. Atanassov, K., Extended index matrices, Proc. of the 7-th IEEE Conference “Intelligent Systems”, Warsaw, 24-26 Sept. 2014 (P. Angelov, K. Atanassov, L. Doukovska, M. Hadjiski, V. Jotsov, J. Kacprzyk, N. Kasabov, S. Sotirov, E. Szmidt, S. Zadrozny, Eds.), Springer, Cham, 2015, 305-317.
  • 5. Hortonworks Data platform, https://www.cloudera.com/products/hdp.html
  • 6. Lankaster, P. Theory of Matrices, Academic Press, New York, 1969.
  • 7. Zhang, F. Matrix Theory. Springer, New York, 2011.
Uwagi
1. The authors acknowledge the support from the project UNITe BG05M2OP001-1.001-0004 /28. 02.2018 (2018-2023).
2. Main Track: Conference Invited Contributions
3. Session: Keynote Papers
4. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c15c79bc-e002-4247-84f8-dd54865a3156
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