Data mining techniques are used in data analysis of crisis resilience indicators in the city. An integral part of data mining is the acquisition of knowledge about data ( KDD ). Also is a process which finds useful, new, valid, novel (previously unknown) and ultimately understandable( implicit) patterns and models from large and huge dataset. Data mining have applications various like business, Medicine, sociology, exercitation, fraud detection et cetera which in this research attention to sociology and social dimension. Data mining mainly depend on quality of data. Raw data usually susceptive to incomplete data, missing values, inconsistent data, outlier data and noisy data. Thus, it is important for data tobe processed before being mined. The purpose of preprocessing is to transform the raw data to an adaptable form for subsequent analysis.
