DOI:​10.1007/3-540-45110-2_119
Corpus ID: 1163134
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
B. Minaei-Bidgoli, W. Punch
Published in GECCO 2003
Computer Science
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. [...] It further shows that…Expand
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191 Citations
Highly Influential Citations
7
Background Citations
41
Methods Citations
39
Results Citations
2
Topics from this paper
Genetic algorithm
Data mining
Pattern recognition
Feature selection
Mathematical optimization
Geographic coordinate system
Principal component analysis
Feature vector
Java applet
Genetic programming
Software release life cycle
Fitness function
Decision boundary
MSU Lossless Video Codec
Feature extraction
Evolutionary algorithm
Statistical classification
Apply
Simulation
Existential quantification
Web application
Test data
Web page
Database
191 Citations
Performance Evaluation of Data Mining Classification in Educational System using Genetic Algorithm
Navneet Kaur, Jaskaranjit Kaur
Computer Science
2018
TLDR
This paper provides a concise and representative review for classifying students in order to predict their performance on the basis of features extracted from the data logged in an Education System and finds that CART is the best data mining classification technique among the 6 classifiers when the authors use two classes and KNN is thebest data mining classifier when they use three classes. Expand
Classifier Optimization Using Genetic Algorithm in a Web based Educational System
S. Bhoir, S. Govilkar
2013
The main aim of this paper is to introduce to find similar patterns of use in the data gathered from Learning Online Network with Computer-Assisted Personalized Approach (LON-CAPA), and eventually be… Expand
Predicting student performance: an application of data mining methods with an educational Web-based system
B. Minaei-Bidgoli, D. Kashy, G. Kortemeyer, W. Punch
Computer Science
33rd Annual Frontiers in Education, 2003. FIE 2003.
2003
TLDR
An approach to classifying students in order to predict their final grade based on features extracted from logged data in an education Web-based system is presented and an appropriate weighting of the features used via a genetic algorithm is demonstrated to improve prediction accuracy. Expand
317 Citations
PDF
PREDICTING STUDENT PERFORMANCE: AN APPLICATION OF DATA MINING METHODS WITH THE EDUCATIONAL WEB-BASED SYSTEM LON-CAPA
B. Minaei-Bidgoli, D. Kashy, G. Kortemeyer, W. Punch
Engineering
2003
Newly developed web-based educational technologies offer researchers unique opportunities to study how students learn and what approaches to learning lead to success. Web-based systems routinely… Expand
125 Citations
PDF
A Study on Data Mining Techniques and Genetic Algorithm in Education Sector
Saddam Khan, Sunny Gupta, Y. Sharma, Dr. Radhakrishna Rambola
2015
This paper is examine the analysis of students’ and prediction of students’ performance. Data mining techniques are playing vital roles in Higher education institution. This paper is reviewing some… Expand
2 Citations
Applying NN-based data mining to learning performance assessment
Jieqiong Zheng, Zeyu Chen, Changjun Zhou
Computer ScienceIEEE Conference Anthology
2013
TLDR
A Neural Network (NN) approach for classifying students in order to predict their final grades based on features extracted from logged data in an web-based education system to make learning more efficient. Expand
6 Citations
Data Mining Algorithms to Classify Students
C. Romero, S. Ventura, Pedro G. Espejo, C. Hervás-Martínez
Computer Science
EDM

2008
TLDR
It is claimed that a classifier model appropriate for educational use has to be both accurate and comprehensible for instructors in order to be of use for decision making.Expand
366 Citations
PDF
Analyzing students'data using a classification technique based on genetic algorithm and fuzzy logic
Saddam Khan
Computer Science
International Conference on Computing, Communication & Automation
2015
TLDR
The combination of genetic algorithm and fuzzy rules is employed to optimize the indices entropy and gini index and the solution obtained is an optimal way to classify the students' database. Expand
Number 3
B. Minaei-Bidgoli, W. Punch
2019
Educational Data Mining deals with developing methods to explore unique types of data in educational settings by applying a combination of approaches such as data mining, statistical and machine… Expand
Selecting a suitable method of data mining for successful forecasting
Y. Alsultanny
Business
2011
The aim of using data mining in the education field is to enhance educational performance, by using the six school indicators, which are defined in this article to identify useful guidelines that can… Expand
7 Citations
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