Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data

Authors:
C. Romero;P. González;S. Ventura;M. J. del Jesus;F. Herrera
Affiliations:
Department of Computer Sciences and Numerical Analysis, University of Córdoba, 14071 Córdoba, Spain;Department of Computer Sciences, University of Jaén, 23071 Jaén, Spain;Department of Computer Sciences and Numerical Analysis, University of Córdoba, 14071 Córdoba, Spain;Department of Computer Sciences, University of Jaén, 23071 Jaén, Spain;Department of Computer Sciences and Artificial Intelligence, University of Granada, 18071 Granada, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 22
Cited 12

Mining association rules between sets of items in large databases

SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Evolving fuzzy rule based controllers using genetic algorithms

Fuzzy Sets and Systems
Explora: a multipattern and multistrategy discovery assistant

Advances in knowledge discovery and data mining
Mining frequent patterns by pattern-growth: methodology and implications

ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Data Mining Using Grammar-Based Genetic Programming and Applications

Data Mining Using Grammar-Based Genetic Programming and Applications
The CN2 Induction Algorithm

Machine Learning
Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain

ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
An Algorithm for Multi-relational Discovery of Subgroups

PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Strength or Accuracy: Credit Assignment in Learning Classifier Systems

Strength or Accuracy: Credit Assignment in Learning Classifier Systems
Subgroup Discovery with CN2-SD

The Journal of Machine Learning Research
E-learning personalization based on itineraries and long-term navigational behavior

Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors

User Modeling and User-Adapted Interaction
Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)

Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
Educational data mining: A survey from 1995 to 2005

Expert Systems with Applications: An International Journal
Search-intensive concept induction

Evolutionary Computation
Expert-guided subgroup discovery: methodology and application

Journal of Artificial Intelligence Research
RSD: relational subgroup discovery through first-order feature construction

ILP'02 Proceedings of the 12th international conference on Inductive logic programming
SD-map: a fast algorithm for exhaustive subgroup discovery

PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Integrating fuzzy knowledge by genetic algorithms

IEEE Transactions on Evolutionary Computation
Active subgroup mining: a case study in coronary heart disease risk group detection

Artificial Intelligence in Medicine
SLAVE: a genetic learning system based on an iterative approach

IEEE Transactions on Fuzzy Systems
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing

IEEE Transactions on Fuzzy Systems

Voltage Sag Source Location From Extracted Rules Using Subgroup Discovery

Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery

HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Multi-objective optimization based on ant colony optimization in grid over optical burst switching networks

Expert Systems with Applications: An International Journal
Implementation and integration of algorithms into the KEEL data-mining software tool

IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Evaluation of e-learning systems based on fuzzy clustering models and statistical tools

Expert Systems with Applications: An International Journal
Application of machine learning techniques to analyse student interactions and improve the collaboration process

Expert Systems with Applications: An International Journal
NMEEF-SD: non-dominated multiobjective evolutionary algorithm for extracting fuzzy rules in subgroup discovery

IEEE Transactions on Fuzzy Systems
Educational data mining: a review of the state of the art

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Content-free collaborative learning modeling using data mining

User Modeling and User-Adapted Interaction
A genetic fuzzy expert system for automatic question classification in a competitive learning environment

Expert Systems with Applications: An International Journal
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com

Expert Systems with Applications: An International Journal
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.06

Visualization

Abstract

This work describes the application of subgroup discovery using evolutionary algorithms to the usage data of the Moodle course management system, a case study of the University of Cordoba, Spain. The objective is to obtain rules which describe relationships between the student's usage of the different activities and modules provided by this e-learning system and the final marks obtained in the courses. We use an evolutionary algorithm for the induction of fuzzy rules in canonical form and disjunctive normal form. The results obtained by different algorithms for subgroup discovery are compared, showing the suitability of the evolutionary subgroup discovery to this problem.