Authors:
Any Keila Pereira
1
;
Ana Paula Sousa
2
;
João Ramalho Santos
3
and
Jorge Bernardino
4
Affiliations:
1
Polytechnic of Coimbra, Institute of Engineering of Coimbra – ISEC, Rua Pedro Nunes, Quinta da Nora, 3030-199 Coimbra and Portugal
;
2
Reproductive Medicine Service - Hospital Center of University of Coimbra, São Jerónimo Building, 2nd Floor, Praceta Professor Mota Pinto 3000-075 Coimbra, Portugal, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504, Coimbra and Portugal
;
3
Department of Life Sciences, University of Coimbra, 3000-456 Coimbra, Portugal, Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504, Coimbra and Portugal
;
4
Polytechnic of Coimbra, Institute of Engineering of Coimbra – ISEC, Rua Pedro Nunes, Quinta da Nora, 3030-199 Coimbra, Portugal, CISUC - Centre of Informatics and Systems of University of Coimbra, DEI, Polo 2, Pinhal de Marrocos, 3030-290 Coimbra and Portugal
Keyword(s):
Open Source Data Mining Tools, OSSpal methodology, RapidMiner, Knime, Weka.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Health Engineering and Technology Applications
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Data Mining is currently one of the best technological developments that offers efficient ways to analyse massive data sets and get hidden and useful knowledge that can have value to business. The use of Open Source Data Mining tools has the advantage of not increasing acquisition costs for companies and organizations. However, one of the main challenges is to choose the best Open Source Data Mining tool that meet their specific needs. This paper compares three of the top Open Source Data Mining tools: Knime, RapidMiner, and Weka. For the comparison the OSSpal methodology is used, combining quantitative and qualitative evaluation measures to identify the best tool.