Abstract

In the database model of block form, from the results of the research on derived formulas, this article shows how to construct the derived conjunction to receive Tr as the truth block, the main results of this research has demonstrated the necessary and sufficient conditions for a logical formula to be expressed in terms of the derived equations. From these results, this article continues to propose the concepts of Tr value block, closed value block with multiplication & T*, and propose algorithm to make closed value block in database model of block form, the results of this algorithm have found that the smallest truth block T* contains the smallest truth block satisfying: T* contains the element e unit and the z zero element and closes with the & operator. In special cases when the index set consists of 1 element, the volume degenerates into a relationship, this result coincides with the results researched by the authors in the relational database model.

Keywords

  • Derived conjunction and algorithm to close value block in the database model of block form
  • block.

References

  1. 1. Nguyen Xuan Huy, Trinh Dinh Thang , Database model of block form, Journal of Compurter Science and Cybernetics, P.14, S.3 (52-60), 1998.
  2. 2. Nguyen Xuan Huy, Logical dependencies in database, Statistical Publishing House, Hanoi, 2006.
  3. 3. Trinh Dinh Thang, Tran Minh Tuyen, The translation of block scheme and the present problem of the closure, key in the database model of block forms, 13th National Conference “Selected Problems about IT and Telecommunication”, (276-286), Hung Yen, 19-20/08/2010.
  4. 4. Trinh Dinh Thang, Tran Minh Tuyen, Key and key attributes set, non-key attributes set with translation of block schemes, 14th National Conference “Selected Problems about IT and Telecommunication”, (159-170), Can Tho 07-08/10/2011.
  5. 5. Trinh Dinh Thang, Tran Minh Tuyen, Balancing scheme, minimum left hand side, and transformation block scheme, 15th National Conference “Selected Problems about IT and Telecommunication”, (174-179), Hanoi 03-04/12/2012.
  6. 6. Apostolos Benisis (2010), Business Process Management: A Data Cube To Analyze Business Process Simulation Data For Decision Making Paperback, VDM Verlag Dr. Müller.
  7. 7. Brian Ciampa (2014), The Data Warehouse Workshop: Providing Practical Experience to the Aspiring ETL Developer Paperback, CreateSpace Independent Publishing Platform.
  8. 8. Ladjel Bellatreche, Mukesh K. Mohania (2014), Data Warehousing and Knowledge Discovery: 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014. Proceedings (Lecture Notes ... Applications, incl. Internet/Web, and HCI) Paperback, Springer; 2014 edition.
  9. 9. Maurizio Rafanelli, M.Rafanelli (2003), Multidimensional Databases: Problems and Solutions Hardcover, Idea Group Publishing.
  10. 10. M.Rafanelli(Ed.) (2003), Multidimensional Databases: Problems and Solutions, Idea Group.
  11. 11. Qiang Yang, Joshua Zhexue Huang, Michaeng Ng (2003), A data Cube Model for Prediction- Based Web Prefetching, Journal of Intelligent Information Systems, Vol. 20, Issue 1, pp. 11-30.
  12. 12. R. Agrawal, A. Gupta, and S. Sarawagi (1997), Modeling Multidimensional Databases, In Proc. of 13 th, Int. Conf. on Data Engineering (ICDE) pages 232-243. IEEE press.