Civil engineering approach on the classification algorithms with the comparison perspective

Now-A-days there is a high need of data maintenance since there is a vast growth in usage of internet we need to optimize the data and from the available data we need to infer the related or required patterns and this job is done by data mining. One of the main tasks of data mining is classification. In this paper we have discussed about classification algorithms namely Decision Table, OneR, Random Forest, AdaBoost, Naïve Bayes. We analyzed these algorithms using mushroom data set using weka-3.4.9 tool. In this way we can use the classification of data with respect to civil engineering.