A DATA MINING APPROACH TO AVOID POTENTIAL BIASES

Data Mining is a science of identifying the pattern (Knowledge) from a large collection of data. The identified pattern serves the Decision Support System to generate Classification Rules that help in Decision Making. Potential biases and potential privacy invasion are some of the possible negative outcomes in the data mining technique. Rule mining of categorization technique has enclosed the way for making automatic decisions like accepting or rejecting the request of loan, etc. The biased (discrimination) result may be generated when the training data set are biased. Therefore in data mining anti-biasing techniques with discovery and prevention of biases is proposed by the researchers. Biases are of two types direct and indirect. The direct biases are occurred when the decisions are made on sensitive attribute.