Analysis of data mining evaluation methods’ efficiency

International Journal of Development Research

Article ID: 
5 pages
Research Article

Analysis of data mining evaluation methods’ efficiency

Roumen Trifonov, Daniela Gotseva and Vasil Angelov


After the data mining algorithm has concluded, the results have to be evaluated. The evaluation will show the used algorithm’s accuracy. The main goal of data mining is to discover hidden patterns in data sets. To achieve this there are different algorithms or methods. The algorithms have to be compared based on the work they have performed on the data sets. There are several statistical-based tests to verify that the differences between the methods are not due to some chance effect. Each machine learning technique, used in data mining has different performance in terms of a specific problem. The problem is associated with data set. This article will represent a general overview of the performance measuring techniques.

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