The SPMF Open-Source Data Mining Library Version 2

Author(s):  
Philippe Fournier-Viger ◽  
Jerry Chun-Wei Lin ◽  
Antonio Gomariz ◽  
Ted Gueniche ◽  
Azadeh Soltani ◽  
...  
2016 ◽  
Vol 07 (03) ◽  
pp. 31-33
Author(s):  
ATIF AZIZ ◽  
◽  
RAJEEV ARYA ◽  
SANA SHAFIQUE ◽  
◽  
...  

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

Author(s):  
Robert P. Schumaker ◽  
Osama K. Solieman ◽  
Hsinchun Chen

Author(s):  
Sonia Rani Chowdhary ◽  
Mr Vikash

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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