An intelligent knowledge discovery method based on genetic algorithms and conditional probability

Abstract

In this paper, we integrated genetic algorithm and conditional probability to build a novel retrieval method for knowledge discovery. Genetic algorithm and conditional probability are used to derive the weight of the attributes and improve traditional KNN respectively. Our method can be used for data mining issues with both continuous and discrete values of the characteristic attributes. © Springer-Verlag Berlin Heidelberg 2012.