DocumentCode
2735340
Title
Arff convertor tool for WEKA data mining software
Author
Robu, R. ; Stoicu-Tivadar, V.
Author_Institution
Politeh. Univ. from Timisoara, Timisoara, Romania
fYear
2010
fDate
27-29 May 2010
Firstpage
247
Lastpage
251
Abstract
The paper presents a tool that exports data from different database types into arff format, in order to be used by WEKA data mining and machine learning software. The developed application allows the connection to databases, the visualization of the relationships between tables, the visualization of the structure and of the content of these databases throughout several uniform and dynamic interfaces as well as generating entry files (arff files) for WEKA, that contain data from one or more related tables. In order to use the developed tool, there is no SQL knowledge required. The application determines the numeric, categorical, string and data attributes. For further validation, using the developed application and WEKA, the authors have realized an educational data mining study on a Microsoft Visual Fox Pro database, including data concerning 2100 students. These data have been extracted from the student management application that is working inside Faculty of Automation and Computers of “Politehnica” University from Timisoara.
Keywords
Application software; Clustering algorithms; Converters; Data mining; Data visualization; Graphics; Instruments; Machine learning; Software tools; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Cybernetics and Technical Informatics (ICCC-CONTI), 2010 International Joint Conference on
Conference_Location
Timisoara, Romania
Print_ISBN
978-1-4244-7432-5
Type
conf
DOI
10.1109/ICCCYB.2010.5491291
Filename
5491291
Link To Document