C4.5: programs for machine learning
C4.5: programs for machine learning
Induction of ripple-down rules applied to modeling large databases
Journal of Intelligent Information Systems
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
Machine Learning
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
Improve Multi-Instance Neural Networks through Feature Selection
Neural Processing Letters
Image Categorization by Learning and Reasoning with Regions
The Journal of Machine Learning Research
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
Adapting RBF Neural Networks to Multi-Instance Learning
Neural Processing Letters
Improvements to Platt's SMO Algorithm for SVM Classifier Design
Neural Computation
MILES: Multiple-Instance Learning via Embedded Instance Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Moodle E-Learning Course Development
Moodle E-Learning Course Development
Incorporating multiple SVMs for automatic image annotation
Pattern Recognition
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
Mining multiple comprehensible classification rules using genetic programming
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A data mining approach to assessing the extent of damage of missing values in survey
International Journal of Business Intelligence and Data Mining
An EM based multiple instance learning method for image classification
Expert Systems with Applications: An International Journal
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
Multi-instance genetic programming for web index recommendation
Expert Systems with Applications: An International Journal
Temporal transitions in participation flow in an asynchronous discussion forum
Computers & Education
A valued tolerance approach to missing attribute values in data mining
HSI'09 Proceedings of the 2nd conference on Human System Interactions
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
Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining
Applied Soft Computing
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Predicting students' final performance from participation in on-line discussion forums
Computers & Education
Review: Educational data mining: A survey and a data mining-based analysis of recent works
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
In this paper, a new approach based on multiple instance learning is proposed to predict student's performance and to improve the obtained results using a classical single instance learning. Multiple instance learning provides a more suitable and optimized representation that is adapted to available information of each student and course eliminating the missing values that make difficult to find efficient solutions when traditional supervised learning is used. To check the efficiency of the new proposed representation, the most popular techniques of traditional supervised learning based on single instances are compared to those based on multiple instance learning. Computational experiments show that when the problem is regarded as a multiple instance one, performance is significantly better and the weaknesses of single-instance representation are overcome.