Direct Discrimination Discovery through Multi Agent Systems in Data Mining

In the modern society no human being is allowed to discriminate by means of gender, race, place, caste etc. , the field of Discrimination Discovery in Data Mining is a novel and it is attracting many researchers. Discrimination is the prejudicial treatment of a certain group of people. Discrimination is an important issue in the field of Data Mining. Mining Algorithms are trained from datasets if these datasets are biased based on sensitive attributes like caste, color, place, country etc. , then the rules extracted become biased, resulting Discrimination in the decisions. Many laws are made to avoid Discrimination but inherently discrimination is finding in the automated decisions. Multi-Agent Programming or Multi Agent System is also another vital field in the research. By using Multi Agent Systems we can able to develop complex machine critical systems. This paper discourses the possibilities of Combining Discrimination Discovery and Multi-agent programming or Multi-Agent Systems (MAS) which leads to way for finding new technologies and frameworks and MAS reduces the time to find Discriminated rules generated by using Data Mining algorithms.