The SPMF Open-Source Data Mining Library Version 2

2016 ◽  
pp. 36-40 ◽  
Author(s):  
Philippe Fournier-Viger ◽  
Jerry Chun-Wei Lin ◽  
Antonio Gomariz ◽  
Ted Gueniche ◽  
Azadeh Soltani ◽  
...  
Keyword(s):  
Data Mining ◽  
Open Source ◽  
Open Source Data ◽  
Source Data

scholarly journals Comparative Study of Open Source Data Mining Software for Big Data

2016 ◽  
Vol 07 (03) ◽  
pp. 31-33
Author(s):  
ATIF AZIZ ◽  
◽  
RAJEEV ARYA ◽  
SANA SHAFIQUE ◽  
◽  
...  
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Comparative Study ◽  
Open Source ◽  
Open Source Data ◽  
Source Data

scholarly journals Open Source Data Mining Tools Evaluation using OSSpal Methodology

2018 ◽  
Author(s):  
Any Keila Pereira ◽  
Ana Paula Sousa ◽  
João Ramalho Santos ◽  
Jorge Bernardino
Keyword(s):  
Data Mining ◽  
Open Source ◽  
Open Source Data ◽  
Source Data ◽  
Mining Tools

Open source data mining

2005 ◽  
Vol 7 (2) ◽  
pp. 143-144 ◽  
Author(s):  
Bart Goethals ◽  
Siegfried Nijssen ◽  
Mohammed J. Zaki
Keyword(s):  
Data Mining ◽  
Open Source ◽  
Open Source Data ◽  
Source Data

Open Source Data Mining Tools for Sports

2010 ◽  
pp. 89-92 ◽  
Author(s):  
Robert P. Schumaker ◽  
Osama K. Solieman ◽  
Hsinchun Chen
Keyword(s):  
Data Mining ◽  
Open Source ◽  
Open Source Data ◽  
Source Data ◽  
Mining Tools

scholarly journals A Comprehensive Analysis of Proprietary and Open Source Data Mining Tools

2020 ◽  
pp. 414-420
Author(s):  
Sonia Rani Chowdhary ◽  
Mr Vikash
Keyword(s):  
Data Mining ◽  
Open Source ◽  
Rapid Development ◽  
Time Analysis ◽  
Open Source Data ◽  
Source Data ◽  
Efficient Information ◽  
Tools And Techniques ◽  
Short Time ◽  
Mining Tools

The Powerful software tools and techniques required for the development of data mining applications. With the rapid development of technologies and business interest in using electronics and latest technologies plays important role in improvement of data mining field. Data mining access the meaningful and efficient information available in worldwide which is helps in decision making. This paper described the (a) various tools and techniques used by data mining applications. (b) compared features and limitations both in Proprietary and open sources data mining tools. (c) technical analysis of proprietary and open source data mining tools. On the basis of well-designed User interface, short time analysis, statistical and mathematical analysis user can select the best tool as per their requirements. Analysis of these tools makes easy to select appropriate tool.

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