Abstract
This paper presents the information system of multidimensional data analysis and data mining by identification of associative dependences in multidimensional data, which was implemented in post-relational DBMS Caché Environment. Information system modules have been considered, which perform the next tasks: design of object database on the physical level and its provisioning, construction of multidimensional data structures for creation a database and association rules mining among multidimensional data. Methods of OLAP cubes construction have been considered as well as association rules mining in them which were implemented in the information system.
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References
Бapceгян, A.A., Кyпpиянoв, M.C., Cтeпaнeнкo, B.B., Xoлoд, И.И. Meтoды и мoдeли aнaлизa дaнныx: OLAP и Data Mining. CПБ: БXB-Пeтepбypг, 336 c (2004)
Пaклин, H.Б., Opeшкoв,B.И.: Бизнec-aнaлитикa: oт дaнныx к знaниям: Учeбнoe пocoбиe. 2-e изд., пepepaб. и дoп. CПб.: Питep, 704 c (2010)
Thomsen, E.: OLAP Solutions: Building Multidimensional Information Systems, 688 p. Wiley, New York (2002).
Wrembel, R., Koncilia, C.: Data Warehouses and OLAP: Concepts, Architectures and Solutions. Idea Group Inc., Calgary (2007).
The Handbook of Data Mining, 690 p. Nong Ye (ed.) Lawrence Erlbaum Associates, Publishers (2003).
Hand, D., Mannila, H., Smyth, P.: Principles of Data Mining, 546 p. Massachussets Institute of Technology, Cambridge (2001).
Vaidya, J., Clifton, C., Zhu, M.: Privacy Preserving Data Mining, 120 p. Springer, Berlin (2006). 120 p
Han, J.: Toward on-line analytical mining in large databases. SIGMOD Rec. 27, 97–107 (1998)
Zhu, H.: Online analytical mining of association rules. Master’s thesis, Simon Faster University, Burnaby, British Columbia, Canada (1998)
Киpcтeн, B., Иpингep, M., Кюн, M., Pepиг, Б.: Пocтpeляциoннaя CУБД Cache 5. Oбъeктнo-opиeнтиpoвaннaя paзpaбoткa пpилoжeний. – 3-e изд., пepepaб. и дoпoлн.—M.: OOO “Бинoм-Пpecc”, 416 c.: c ил (2008)
Tpyб И. И.: CУБД Caché: paбoтa c oбъeктaми.—M.: Издaтeльcтвo ДИAЛOГ-MИФИ, 480 c (2006)
Zhang, C., Zhang, S.: Association Rule Mining: Models and Algorithms, p. 238. Springer, Berlin (2002)
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Fisun, M., Horban, H. (2017). Generation of the Association Rules Among Multidimensional Data in DBMS Caché Environment. In: Shakhovska, N. (eds) Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing, vol 512. Springer, Cham. https://doi.org/10.1007/978-3-319-45991-2_5
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DOI: https://doi.org/10.1007/978-3-319-45991-2_5
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