A Basic Study of Classification and Prediction Method of Data Mining

Abstract

Although databases are very rich with hidden information that can be used intelligent business decisions. Prediction and classification there are two main forms of data analysis technique/method which can be used to fetch and create models that can describe important classes of data to predict future trends. While the classification predicts certain labels and the prediction model predicts continuous-valued tasks. A classification model can be classify a particular things are appropriate or not, safe or risky, where as a predictive model can be built to predict about spending capacity of peoples based on their given income. Prediction and classification methods have been proposed by various researchers in decision support system, expert systems, machine learning, statistics etc. Majority of the algorithms and techniques are souvenir denizen, you can assuming as a small data size. Recent database mining research has been done on classification and prediction techniques which are capable of handling large amount, souvenir denizen data. All these techniques considered as a parallel and distributed processing.