@article{(Open Science Index):https://publications.waset.org/pdf/6914,
	  title     = {Weka Based Desktop Data Mining as Web Service},
	  author    = {Sujala.D.Shetty and  S.Vadivel and  Sakshi Vaghella},
	  country	= {},
	  institution	= {},
	  abstract     = {Data mining is the process of sifting through large
volumes of data, analyzing data from different perspectives and
summarizing it into useful information. One of the widely used
desktop applications for data mining is the Weka tool which is
nothing but a collection of machine learning algorithms implemented
in Java and open sourced under the General Public License (GPL). A
web service is a software system designed to support interoperable
machine to machine interaction over a network using SOAP
messages. Unlike a desktop application, a web service is easy to
upgrade, deliver and access and does not occupy any memory on the
system. Keeping in mind the advantages of a web service over a
desktop application, in this paper we are demonstrating how this Java
based desktop data mining application can be implemented as a web
service to support data mining across the internet.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {4},
	  year      = {2010},
	  pages     = {828 - 846},
	  ee        = {https://publications.waset.org/pdf/6914},
	  url   	= {https://publications.waset.org/vol/40},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 40, 2010},