Evolutionary Algorithm Applications in Data Mining

Data mining is a field with immense scope and helps us extract knowledge from real world, large and complicated data sets. It has various steps including preprocessing, pattern refinement, and post processing. This field has been growing profoundly with various applications in machine learning areas. It has found a great place and application in this field including evolutionary algorithms (EA). The main inspiration behind using EAs is they are greatly robust and have adaptive search methods, which perform in space of candidate solutions. They utilize powerful and efficient search methodologies to carry out a global search in a space solution. The combination of these two DM and EA including the theoretical and applications part made available for various fields for application. The main purpose of this paper is to present maximum number of applications of EA in Data mining field to present a consolidated view to the interested researchers in this aforesaid field.