EVOLUTIONARY ALGORITHMIC APPROACH FOR DATA MINING

摘要

Data Mining is extracting useful information from large database that cannot be obtained by standard search mechanisms. We live in a world where a vast amount of data is generated and collected every day, giant database are getting filled with raw data. Analyzing such a huge amount of data is a big hurdle but is important because it helps the organization in decision making tasks. Classification is a supervised learning technique of data mining which is used to extract hidden useful knowledge over a large volume of database by predicting the class values based on the attribute values. Recently, both the probabilistic and evolutionary techniques are worked upon. This paper presents an approach for classifying diabetes patient based on features extracted from database using evolutionary technique i.e., genetic algorithm. For the experimental work, we have used the Diabetes 130-US hospitals 1999-2008 Data Set taken from the UCI Machine Learning Repository.