DocumentCode
458753
Title
Data Mining Exploration System for Feature Selection Tasks
Author
Suraj, Zbigniew ; Delimata, Pawel
Author_Institution
Dept. of Comput. Sci., Rzeszow Univ.
Volume
1
fYear
2006
fDate
9-11 Nov. 2006
Firstpage
284
Lastpage
286
Abstract
The area of data mining and knowledge discovery is inherently associated with databases. Data mining methods are used in the process of knowledge discovery to reveal new pieces of knowledge from large databases. One of the stages in that process is a feature selection. A feature selection is usually meant as a process of finding a subset of features from the original set of features forming patterns in a given data set, optimal according to the defined goal and criterion of feature selection. The aim of this paper is to present the main functionalities of the data mining exploration system (DMES) (P. Delimata, 2005) and to explain its usefulness to the feature selection tasks. The DMES is an integrated software system that incorporates many algorithms which can be used in data mining
Keywords
data mining; very large databases; data mining exploration system; feature selection tasks; knowledge discovery; large databases; Computer science; Computer science education; Data mining; Delta modulation; Greedy algorithms; Information technology; Iris; Machine learning algorithms; Spatial databases; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Hybrid Information Technology, 2006. ICHIT '06. International Conference on
Conference_Location
Cheju Island
Print_ISBN
0-7695-2674-8
Type
conf
DOI
10.1109/ICHIT.2006.253500
Filename
4021103
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