DocumentCode :
2960671
Title :
Comparing approaches to prepare data in classification problems
Author :
Gonçalves, Paulo M., Jr. ; Barros, Roberto S M
Author_Institution :
Centro de Informdtica, Univ. Fed. de Pernambuco, Recife, Brazil
fYear :
2011
fDate :
27-30 Dec. 2011
Firstpage :
295
Lastpage :
296
Abstract :
This paper presents a comparison between DMPML and three data mining applications (Weka, RapidMiner, and KN-IME) that implement the directed graph approach, concerning the time spent to create and execute the data preparation tasks for two data mining algorithms. The tests were executed using different types of data sets: numerical, categorical, and mixed. We observed that the scheme used by the DMPML framework can simplify the usage of different data mining algorithms and reduce the time spent creating the data preparation tasks.
Keywords :
data mining; data preparation; directed graphs; numerical analysis; pattern classification; DMPML; KN-IME; RapidMiner; Weka; categorical test; classification problem; data mining algorithm; data preparation task execution; data set; directed graph approach; mixed test; numerical test; Artificial neural networks; Computers; Conferences; Data mining; Machine learning; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications (AICCSA), 2011 9th IEEE/ACS International Conference on
Conference_Location :
Sharm El-Sheikh
ISSN :
2161-5322
Print_ISBN :
978-1-4577-0475-8
Electronic_ISBN :
2161-5322
Type :
conf
DOI :
10.1109/AICCSA.2011.6126613
Filename :
6126613
Link To Document :
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