Applications of genetic algorithms in data mining

As computer power increases, the amount of data available to be collected and processed grows. The size and number of the databases increase very fast. Therefore using a technique that operates very well with large amounts of date becomes an obvious choice. Data raining is used in these cases when the data is too complex or vast to be analyzed using the conventional techniques. The present thesis will research on the use of the genetic algorithm in the data mining process. The first step will be a thorough literature search about the ways genetic algorithms have been tried in data mining. Next, experiments will be made on a specific dataset. The goal is to determine the factors that could be used for when to apply genetic algorithms and how to make the best use of genetic algorithm for a certain type of data and problem.