Title :
Study on the Descriptions And Services Of Data provenance in data mining grid
Author :
Wang, Kun ; Li, Yang ; Wang, Lin
Author_Institution :
Postgrad. Training Brigade, Mil. Transp. Univ., Tianjin, China
Abstract :
Non-trivial trails in choosing the right data mining algorithm and tuning its arguments for a data set is one of most trivial tasks for data mining users. Sharing and mining users´ experiences in using data mining tools can give valuable clues for a new user. This paper presents a description framework for the data provenance in a data mining grid platform and design two kinds of methods for representing the data provenance: WSDL based and RDF based ones. We also discuss the related services for using those data. The real applications in BillionGrid platform demonstrate its effectiveness and usefulness.
Keywords :
Web services; data mining; grid computing; BillionGrid platform; RDF based data provenance; WSDL based data provenance; data mining algorithm; data mining grid platform; data set; Data mining; Data models; Java; OWL; Resource description framework; Web services; XML; data mining grid; data provenance; service discovery; web service;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5975053
