A comparative study in data mining: Clustering and classification capabilities

Abstract

The ICT evolution has driven on the creation of a capable society, in providing new kinds and type of information. The gathered information is stored continuously, meaning that a great amount of databases has to be created. The problem that arises is whether there is a global manner of managing and gaining knowledge out of the rising variety and volumes of data. Many efforts have been developed for addressing the emerging challenges of data mining based on statistics and machine learning techniques that can significantly boost the ability to analyze data. In this paper, a detailed study on the data mining field takes place, followed by a comparative study between clustering and classification techniques, resulting that the integration of clustering and classification techniques can provide more accurate results than a simple classification technique that classifies datasets with priorly known attributes and classes.