DocumentCode :
724592
Title :
Open Source Data Mining tools
Author :
Al-Odan, Hussah A. ; Al-Daraiseh, Ahmad A.
Author_Institution :
King Saud Univ., Riyadh, Saudi Arabia
fYear :
2015
fDate :
25-27 March 2015
Firstpage :
369
Lastpage :
374
Abstract :
Data Mining is one of the most widely used techniques in the realm of data exploration and trend identification. Although commercial Data Mining tools are very powerful and produce satisfactory results, the number of free and open source software tools is on the rise, some of them have started to compete vigorously with the commercial enterprise-level rivals. For small to medium enterprises, selecting a suitable Data Mining tool can be an overwhelming task with such a variety. In this paper, five of the most popular free and open source software tools were comprehensively studied, and compared on a side-by-side manner on both user´s acceptance and technical specifications level. Results from both evaluations are analyzed, and the paper concludes by contrasting on the advantages and disadvantages of each tool.
Keywords :
data mining; public domain software; software tools; data exploration; open source data mining tools; open source software tools; trend identification; Data mining; Documentation; Information technology; Licenses; Manuals; Usability; Comparison; FOSS; KNIME; Orange; RStudio; RapidMiner; SMBs; Weka; data mining tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Information Technologies (ICEIT), 2015 International Conference on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4799-7478-8
Type :
conf
DOI :
10.1109/EITech.2015.7162956
Filename :
7162956
Link To Document :
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