Data mining techniques and tasks for multidisciplinary applications: a systematic review

Abstract

The data mining method is becoming a trend on the computer science, medicine, economy, biology, administration, environmental sciences and sport. There are several techniques and tasks related to data mining, such as clustering, classification, association rules, time series forecasting and regression model, which is being applied in several multidisciplinary problems and applications. Considering the exposed above, the aim of this paper is to present a survey about the data mining techniques and tasks, showing the applicability on several and multidisciplinary areas. The trend of the method, combined with other mathematical, statistical and computational methods. Also, data mining techniques and tasks are not being used in an isolated way or individually, but also as being a module or part of a project of an expert system, by combining mathematical, computational and statistical methods.