A Flexible Approach for Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Managing data mining technologies in organizations: techniques and applications
Managing data mining technologies in organizations: techniques and applications
Building a Recommender Agent for e-Learning Systems
ICCE '02 Proceedings of the International Conference on Computers in Education
Visualizing Association Rules for Text Mining
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
International Journal of Intelligent Systems - Granular Computing and Data Mining
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A Dynamic Web Service based Data Mining Process System
CIT '05 Proceedings of the The Fifth International Conference on Computer and Information Technology
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Investigating learning styles in the online educational environment
Proceedings of the 8th ACM SIGITE conference on Information technology education
MATEP: Monitoring and Analysis Tool for E-Learning Platforms
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
KEEL: a software tool to assess evolutionary algorithms for data mining problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Evolutionary and Metaheuristics based Data Mining (EMBDM); Guest Editors: José A. Gámez, María J. del Jesús, José M. Puerta
Measuring Participation in Internet Supported Courses
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 05
Clustering and Sequential Pattern Mining of Online Collaborative Learning Data
IEEE Transactions on Knowledge and Data Engineering
Explanation oriented association mining using rough set theory
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Visualizing transactional data with multiple clusterings for knowledge discovery
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Educational monitoring tool based on faceted browsing and data portraits
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Supporting action research with learning analytics
Proceedings of the Third International Conference on Learning Analytics and Knowledge
A web-based intelligent report e-learning system using data mining techniques
Computers and Electrical Engineering
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Nowadays, due to the lack of face-to-face contact, distance course instructors have real difficulties knowing who their students are, how their students behave in the virtual course, what difficulties they find, what probability they have of passing the subject, in short, they need to have feedback which helps them to improve the learning-teaching process. Although most Learning Content Management Systems (LCMS) offer a reporting tool, in general, these do not show a clear vision of each student's academic progression. In this work, we propose a decision making system which helps instructors to answer these and other questions using data mining techniques applied to data from LCMSs databases. The goal of this system is that instructors do not require data mining knowledge, they only need to request a pattern or model, interpret the result and take the educational actions which they consider necessary.