Association analysis on casualty and residential environment data of earthquake

Data Mining is to pick up unknown, potential and useful information from vast, incomplete, noisy, vague and random data. Association Rules analysis is frequently used in data mining that analyze data and find the association or contact between things. This paper applies the Association Rules to the analysis of relationship between casualty and residential environment in earthquake. The data comes from the database of the earthquake of the southwest China. According to the analysis of the relationship among the casualty, terrain, construction structure, population density and earthquake magnitude with the Association Rules, the author has found some results that are consistent with reality and can play a guide role in the following earthquake disaster assessment.