Data Analytic Framework for Predicting Crime Sector using Open Power System Convention Phase Algorithm

Abstract

Data Mining (DM) is the process of exploring datasets in order to illustrate conclusions about
the information they contain. It is a process of inspecting, cleansing, transforming, and
modeling data with the goal of discovering useful information. A database contains both
structured and semi-structured data. The semi structured data are from different sources. The
system is provided with an open power system convention phase for analyzing the data from
whole data container. According to this concept, the analysis is much absolute rather than
other, data mining technique. The main objective of the proposed study is to provide data
having better and significant perspective.