Solving the multiple instance problem with axis-parallel rectangles
Artificial Intelligence
A framework for multiple-instance learning
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Evaluation and implementation of distance learning: technologies, tools and techniques
Evaluation and implementation of distance learning: technologies, tools and techniques
Data Mining: Concepts, Models, Methods and Algorithms
Data Mining: Concepts, Models, Methods and Algorithms
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Solving the Multiple-Instance Problem: A Lazy Learning Approach
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Towards Evaluating Learners' Behaviour in a Web-Based Distance Learning Environment
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
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
Multi-Instance Learning Based Web Mining
Applied Intelligence
Predicting Students' Marks in Hellenic Open University
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Region based image annotation through multiple-instance learning
Proceedings of the 13th annual ACM international conference on Multimedia
Improvements to Platt's SMO Algorithm for SVM Classifier Design
Neural Computation
Minel: a framework for mining e-learning logs
WBE'06 Proceedings of the 5th IASTED international conference on Web-based education
Moodle E-Learning Course Development
Moodle E-Learning Course Development
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Incorporating multiple SVMs for automatic image annotation
Pattern Recognition
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Solving multi-instance problems with classifier ensemble based on constructive clustering
Knowledge and Information Systems - Special Issue on Mining Low-Quality Data
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
JCLEC: a Java framework for evolutionary computation
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue (pp 315-357) "Ordered structures in many-valued logic"
Towards personalized recommendation by two-step modified Apriori data mining algorithm
Expert Systems with Applications: An International Journal
Web Usage Mining to Evaluate the Transfer of Learning in a Web-Based Learning Environment
WKDD '08 Proceedings of the First International Workshop on Knowledge Discovery and Data Mining
A Multi-Instance Learning Algorithm Based on Normalized Radial Basis Function Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Learning assignment order of instances for the constrained K-means clustering algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A human-centered multiple instance learning framework for semantic video retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Using genetic algorithms for data mining optimization in an educational web-based system
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
MILC2: a multi-layer multi-instance learning approach to video concept detection
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Bayesian classification for data from the same unknown class
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multiple instance learning for classifying students in learning management systems
Expert Systems with Applications: An International Journal
Correlation of grade prediction performance and validity of self-evaluation comments
Proceedings of the 14th annual ACM SIGITE conference on Information technology education
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A considerable amount of e-learning content is available via virtual learning environments. These platforms keep track of learners' activities including the content viewed, assignments submission, time spent and quiz results, which all provide us with a unique opportunity to apply data mining methods. This paper presents an approach based on grammar guided genetic programming, G3P-MI, which classifies students in order to predict their final grade based on features extracted from logged data in a web based education system. Our proposal works with multiple instance learning, a relatively new learning framework that can eliminate the great number of missing values that appear when the problem is represented by traditional supervised learning. Experimental results are carried out on data sets with information about several courses and demonstrate that G3P-MI successfully achieves better accuracy and yields trade-off between such contradictory metrics as sensitivity and specificity compared to the most popular techniques of multiple instance learning. This method could be quite useful for early identification of students at risk, especially in very large classes, and allows the instructor to provide information about the most relevant activities to help students have a better chance to pass a course.