METHOD OF CONCEPTUAL OLAP-MODELLING BASED ON FORMAL CONCEPTUAL ANALYSIS


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Abstract

A method of domain conceptual OLAP-modeling is suggested. The way of constructing the integral analytical model as a formal conceptual OLAP-cubes lattice is formally described. Advantages of on-line analytical processing based on conceptual OLAP-model are presented. Suggested method is implemented for integral analytical model constructing for scientific activities of the organization.

References

  1. Горелов Б. А., Горелов Б. Б. Разработка модели данных для целей оперативной аналитической обработки финансовой информации университета // Унив. управление. 2002. № 4(23). С. 33-46.
  2. Ноженкова Л. Ф., Шайдуров В. В. OLAP-технологии оперативной информационно-аналитической поддержки организационного управления // Информ. технологии и вычислит. системы. 2010. № 2. С. 15-27.
  3. Palaniappan S., Ling C. Clinical Decision Support Using OLAP With Data Mining // Intern. J. of Computer Science and Network Security. 2008. Vol. 8. № 9. P. 290-296.
  4. Javed A., Shaikh M., Bhatti B. Conceptual Model for Decision Support System Based Business Intelligence OLAP Tool for Universities in Context of E-Learning // Proc. World Congress on Engineering and Computer Science. San Francisco, 2008.
  5. Vasilecas O., Smaizys A. Business rule based data analysis for decision support and automation // Proc. Intern. Conf. on Computer Systems and Technologies. Vol. II, 2006.
  6. Inmon W. Building the Data Warehouse. N. Y.: Willey John & Sons, 1992.
  7. Sperley E. Enterprise data warehouse: planning, building and implementation. Vol. 1. Upper Saddle River, NJ: Prentice Hall PTR, 2001.
  8. Бадмаева К. В. Методика адаптивного проектирования специализированных хранилищ данных // Тр. XIV. Байкал. конф. Ч. III. Иркутск, 2009. С. 214-221.
  9. Боярский Н. А., Шовкун А. В. Построение аналитической части корпоративной информационно-аналитической системы средствами Oracle OLAP Option и BI Beans [Электронный ресурс] // Oracle Magazine RE, апрель-май, 2004. URL: http://www.interface.ru/home.asp?artId <http://www.interface.ru/home.asp7artId>=9604 (дата обращения: 23.11.2010).
  10. Codd E. F. Providing OLAP to user-analysts: An IT mandate: technical report. San Jose: Codd and Date, 1993.
  11. Korobko A., Penkova T. OLAP-modeling of municipal procurement automation support problem // Proc. Intern. Conf. on Conceptual Structures (ICCS '09). 2009. P. 87-91. 12.
  12. Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals / J. Gray, A. Bosworth, A. Layman, H. Priahesh // Proc. of the 12th Intern. Conf. on Data Engineering. IEEE, 1995. P. 152-159.
  13. Kedrov S., Kuznetsov S. Study of Groups of Web Users with Methods Based on Formal Concept Analysis and Data Mining // Business-informatics. 2007. № 1. P. 45-51.
  14. Ganter B., Wille R. Formal Concept Analysis: mathematical Foundations. Berlin: Heidelberg: N. Y.: Springer-Verlag, 1999.
  15. Wille R. Restructuring Lattice Theory: an approach based on hierarchies of concept. Dordrecht-Boston: Reidel, 1982. P. 445-470.
  16. Korobko A., Penkova T. On-line analytical processing based on Formal concept analysis // Procedia Computer Science. 2010. Vol. 1. Iss. 1. P. 2305-2311.
  17. Биркгоф Г. Теория решеток. М.: Наука. 1984.A. V. Korobko, T. G. Penkova

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