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