DocumentCode :
29391
Title :
Adaptive Data Mining: Preliminary Studies
Author :
Massa Cereda, Paulo Roberto ; Jose, Jithin
Author_Institution :
Univ. de Sao Paulo (USP), Sáo Paulo, Brazil
Volume :
12
Issue :
7
fYear :
2014
fDate :
Oct. 2014
Firstpage :
1258
Lastpage :
1270
Abstract :
This paper presents preliminary studies on a proposal of an adaptive model for subject identification in large data sets. Additionally, an initial proposal of the adaptive data mining concept is introduced as a viable computational solution for problems originated from large data sets.
Keywords :
data mining; adaptive data mining; large data sets; subject identification; Adaptation models; Computational modeling; Data mining; Hardware; Proposals; Software; Visualization; Adaptive devices; Data mining; Subject identification;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2014.6948861
Filename :
6948861
Link To Document :
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