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Multi-Relational Algebra and its Application to Unrealized Datasets used in C4.5
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 73 - Number 7 |
| Year of Publication: 2013 |
| Authors: Ranjan Baghel, Maitreyee Dutta |
10.5120/12755-9710
|
Ranjan Baghel, Maitreyee Dutta . Multi-Relational Algebra and its Application to Unrealized Datasets used in C4.5. International Journal of Computer Applications. 73, 7 ( July 2013), 25-28. DOI=10.5120/12755-9710
Abstract
Relational databases are based on the theory of relational algebra because all the operations of RDBMS draw their functioning from the operations in relational algebra. The operations of relational algebra are defined on the sets, however, In general, the datamining algorithms requires databases which adopts the multiset philosophy to give better and more accurate results. Unrealized datasets ensures confidentiality of the actual datasets in the datamining process. C4. 5 is a classic algorithm which works on mixed real world datasets. This paper proposes the application of Relational algebra for multisets to find the split criterion to be used in classification by the C4. 5 algorithm. The results are shown by making the changes in original C4. 5 algorithm in the weka tool setting.
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