A Survey of Classification Techniques in Data Mining
Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data set. These tools can include statistical models, mathematical algorithm and machine learning methods. This paper provides a survey of numerous data mining classification techniques for innovative database applications. Classification is a model finding process that is used for assigning the data into different classes according to specific constrains. There are several major kinds of classification algorithms including genetic algorithm C4.5, Naive Bayes, SVM, KNN, decision tree and CART.