Building an advanced dense classifier

Classification of items (i.e. students, genes, etc.) on data sources provided by various software systems represents an important task that needs to be performed for many reasons related to the business goals of the system. This paper presents several approaches that need to be taken into consideration by a data analysis system designer who aims to obtain an advanced classifier that implements several extra functionalities. The engine presented in this paper is preliminary tested on real data obtained from Tesys on-line educational environment in an attempt to determine the most suitable tutors for currently existing students. Our goal is to build a Decision Tree classifier that accommodates data. This new data structure extends the functionality of a Decision Tree and is called DenseJ48. This new classifier implements efficiently several extra functionalities besides the core ones that may be used when dealing with data.