DocumentCode
719078
Title
Analyzing students´data using a classification technique based on genetic algorithm and fuzzy logic
Author
Khan, Saddam
Author_Institution
SCSE Dept., Galgotias Univ., Noida, India
fYear
2015
fDate
15-16 May 2015
Firstpage
227
Lastpage
232
Abstract
This paper presents a classification technique for analyzing students´ data based on genetic algorithm. The classification technique is modified using Fuzzy rules. The combination of genetic algorithm and fuzzy rules is employed to optimize the indices entropy and gini index. The solution obtained by this classification technique is an optimal way to classify the students´ database. The results of technique are presented in this paper.
Keywords
data analysis; educational administrative data processing; fuzzy logic; genetic algorithms; pattern classification; classification technique; fuzzy logic; fuzzy rules; genetic algorithm; gini index; indices entropy; student data analysis; Automation; Decision trees; Entropy; Genetic algorithms; Indexes; Mathematical model; Radiation detectors; Classification; Entropy; Fuzzy rules; Genetic algorithm; Gini index;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-8889-1
Type
conf
DOI
10.1109/CCAA.2015.7148377
Filename
7148377
Link To Document