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