Paper Info
Title
Comparing approaches to prepare data in classification problems
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.
Year
DOI
Venue
2011
10.1109/AICCSA.2011.6126613
AICCSA
Keywords
DocType
Citations 
data preparation task,graph approach,dmpml framework,different data mining algorithm,classification problem,different type,data mining algorithm,data mining application,directed graph,machine learning,numerical analysis,artificial neural networks,directed graphs,xml,data mining,artificial neural network
Conference
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Paulo Mauricio Goncalves1323.33
Roberto S. M. Barros2728.68