Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
Feature selection with harmony search
Many search strategies have been exploited for the task of feature selection (FS), in an effort
to identify more compact and better quality subsets. Such work typically involves the use of …
to identify more compact and better quality subsets. Such work typically involves the use of …
Intrusion detection using neural based hybrid classification methods
M Govindarajan, RM Chandrasekaran - Computer networks, 2011 - Elsevier
Data mining is the use of algorithms to extract the information and patterns derived by the
knowledge discovery in databases process. Classification is a very common data mining …
knowledge discovery in databases process. Classification is a very common data mining …
[PDF][PDF] Knowledge mining from student data
E Chandra, K Nandhini - European journal of scientific research, 2010 - Citeseer
Over the years, several statistical tools have been used to analyze students' performance
from different points of view. This paper presents data mining in education environment that …
from different points of view. This paper presents data mining in education environment that …
An integrated approach for modeling learning patterns of students in web-based instruction: A cognitive style perspective
Web-based instruction (WBI) programs, which have been increasingly developed in
educational settings, are used by diverse learners. Therefore, individual differences are key …
educational settings, are used by diverse learners. Therefore, individual differences are key …
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules
This paper presents a proposal for the extraction of association rules called G3PARM
(Grammar-Guided Genetic Programming for Association Rule Mining) that makes the …
(Grammar-Guided Genetic Programming for Association Rule Mining) that makes the …
Early performance prediction using interpretable patterns in programming process data
Instructors have limited time and resources to help struggling students, and these resources
should be directed to the students who most need them. To address this, researchers have …
should be directed to the students who most need them. To address this, researchers have …
Intrusion detection using k-Nearest Neighbor
M Govindarajan… - 2009 First International …, 2009 - ieeexplore.ieee.org
Data mining is the use of algorithms to extract the information and patterns derived by the
knowledge discovery in databases process. Classification maps data into predefined groups …
knowledge discovery in databases process. Classification maps data into predefined groups …
Novel evolutionary algorithms for supervised classification problems: an experimental study
Abstract Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms
that mimic natural evolution. Over the years, EAs have been successfully applied to many …
that mimic natural evolution. Over the years, EAs have been successfully applied to many …
A constraint-based genetic algorithm approach for mining classification rules
C Chiu, PL Hsu - IEEE Transactions on Systems, Man, and …, 2005 - ieeexplore.ieee.org
Data mining is an information extraction process that aims to discover valuable knowledge
in databases. Existing genetic algorithms (GAs) designed for rule induction evaluates the …
in databases. Existing genetic algorithms (GAs) designed for rule induction evaluates the …