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Data Mining Using Genetic Algorithm ( DMUGA )

In this paper the Genetic Algorithm has been used to mine the real world dataset in medical domain. The growth of information has proceeded at an explosive rate in recent years. The size of data available now is beyond the capability of our mind to analyze. Due to the size of the data, it is extremely difficult to draw meaningful conclusions about the data. To overcome the above scenario, data mining technology is introduced. In fact we are busy with data in most fields and not concerned about hidden patterns. To a certain extent, there are not enough qualified human analysts available who are expert at translating all of this data into knowledge and find the interesting patterns. Data Mining is a process that starts with data and ends with previously unknown patterns and knowledge. The Knowledge Discovery in Databases (KDD) process will be used and on the data mining stage the GA is applied in this paper. This series of activities is divided into five steps. The raw data is selected and analysed during the steps to reveal patterns and create new knowledge. The KDD will include several steps including Selection, Pre-processing, Transformation, Data Mining and Interpretation of pattern.