Interactive Inductive Learning Service for Indirect Analysis of Study Subject Compatibility

The 19th Annual Machine Learning Conference of Belgium and The Netherlands (BeneLearn 2010): Proceedings 2010
Ilze Birzniece, Mārīte Kirikova

Inductive learning enables to use machine procedures for the classification of objects of interest into predefined groups or classes. Study subjects of a study course may be viewed as a knowledge classification where each subject is relatively independent in terms of its title, running time and other parameters. However, in terms of contents several subjects may overlap. Therefore interactive inductive learning is applied in order to handle classification difficulties caused by conceptual overlapping of study subjects.

Keywords
inductive learning, interactive methods, compatibility analysis, curriculum management
Hyperlink
http://dtai.cs.kuleuven.be/events/Benelearn2010/submissions/benelearn2010_submission_9.pdf

Birzniece, I., Kirikova, M. Interactive Inductive Learning Service for Indirect Analysis of Study Subject Compatibility. In: The 19th Annual Machine Learning Conference of Belgium and The Netherlands (BeneLearn 2010): Proceedings, Belgium, Leuven, 27-28 May, 2010. Leuven: Katholieke Universiteit Leuven, 2010, pp.1-6.

Publication language
English (en)