Case Study: Aircraft accident Analysis using different classifiers

Case Study: Aircraft accident Analysis using different classifiers

Data Mining: Case Study based Aircraft Accident Analysis using different Classifiers

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In real world datasets, lots of redundant and conflicting data exist. The performance of a classification algorithm in data mining is greatly affected by noisy information (i.e. redundant and conflicting). These parameters not only increase the cost of mining process, but also degrade the detection performance of the classifiers. They have to be removed to increase the efficiency and the accuracy of the classifiers. Data mining is a data analysis process which is performed for large volume of data. The methodology for evaluating risk and safety issues of aircraft accidents is proposed in this ...