In this paper, we depict the work with the issue of creating a quick and precise information order, gaining from little arrangement of records. The proposed methodology depends on the system of the alleged Logical Analysis of Information (LAD), however advanced with data got from measurable contemplations on the information. Various discrete streamlining issues are illuminated in the diverse strides of the system, yet their computational interest can be controlled. The precision of the proposed methodology is contrasted with that of the standard LAD calculation, of Support Vector Machines and of Label Propagation calculation on openly accessible datasets of the UCI storehouse.

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Classification Algorithms Data Mining Machine Learning Discrete Mathematics Optimization.