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2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2005)
Timisoara, Romania
Sept. 25, 2005 to Sept. 29, 2005
ISBN: 0-7695-2453-2
pp: 129-133
Robert Győrödi , University of Oradea
Cornelia Győrödi , University of Oradea
Mirela Pater , University of Oradea
Zoltan David , University of Oradea
Ovidiu Boc , University of Oradea
ABSTRACT
With the widespread computerization in business, government, and science, the efficient and effective discovery of interesting information from large databases becomes essential. Previous studies on data mining have been focused on the discovery of knowledge at single conceptual level, either at the primitive level or at a rather high conceptual level. This paper presents an algorithm based on the AFOPT algorithm for multi-level databases that uses the benefits of multileveled databases, by using the information gained by studying items from one concept level for the study of the items from the following concept levels.
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CITATION
Robert Győrödi, Cornelia Győrödi, Mirela Pater, Zoltan David, Ovidiu Boc, "AFOPT Algorithm for Multi-Level Databases", 2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, vol. 00, no. , pp. 129-133, 2005, doi:10.1109/SYNASC.2005.18
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