Contributo in atti di convegno, 2019, ENG, 10.1109/DSAA.2018.00047

Learning data mining

Guidotti R.; Monreale A.; Rinzivillo S.

CNR-ISTI - University of Pisa, Pisa, Italy; University of Pisa, Pisa, Italy; CNR-ISTI, Pisa, Italy

In the last decade the usage and study of data mining and machine learning algorithms have received an increasing attention from several and heterogeneous fields of research. Learning how and why a certain algorithm returns a particular result, and understanding which are the main problems connected to its execution is a hot topic in the education of data mining methods. In order to support data mining beginners, students, teachers, and researchers we introduce a novel didactic environment. The Didactic Data Mining Environment (DDME) allows to execute a data mining algorithm on a dataset and to observe the algorithm behavior step by step to learn how and why a certain result is returned. DDME can be practically exploited by teachers and students for having a more interactive learning of data mining. Indeed, on top of the core didactic library, we designed a visual platform that allows online execution of experiments and the visualization of the algorithm steps. The visual platform abstracts the coding activity and makes available the execution of algorithms to non-technicians.

DSAA, pp. 361–370, Turin, Italy, 1-4/10/2018

Keywords

Data Mining, Didactic Library, Didactic Tool

CNR authors

Rinzivillo Salvatore, Guidotti Riccardo

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 417422

Year: 2019

Type: Contributo in atti di convegno

Creation: 2020-02-20 15:05:42.000

Last update: 2021-03-24 14:37:15.000

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:417422

DOI: 10.1109/DSAA.2018.00047

Scopus: 2-s2.0-85062884642

ISI Web of Science (WOS): 000459238600038