Binary Interactive Search Based Facelift Feature Selection Method for Household Classification Data on Smart Electricity Meter Data

Smart meter data is one among a set of massive data where there are infinite number of features are still inside it which in need of an effective mining approach for extracting from it. However, addressing every features for all problems may not be an effective way for any kind of problem addressing methodology. Hence, based on the need the features to be filtered out to improve the accuracy of the results. In this paper, an effective BIS Algorithm (BISA) has been proposed to address the problem of feature selection for classification of household data. Based on the results, it is evident that the proposed algorithm works efficiently when compared with the other existing algorithms.