The paper presents e-learning an system as a source of large datasets that can be analyzed by data mining techniques. Proposed data mining techniques can be used as a didactic content recommendation system, feedback tool, intrusion detection tools etc. All techniques are applied to make learning process more effective (taking into account time consuming aspects and resource usage). The paper describes data mining tasks and techniques that can be applied to CelGrid system. A particular attention is given to the active learning paradigm as an elearning system is mostly a source of unlabeled data. © 2008 IEEE.
Data Mining Techniques In E-learning CelGrid System
摘要:
DOI:
10.1109/CISIM.2008.35
关键词:
Administrative data processing; Computer networks; Decision support systems; E-learning; Education; Industrial engineering; Industrial management; Information science; Information systems; Internet; Intrusion detection; Knowledge management; Mining; Multimedia systems; Project management; Data mining techniques; Management applications; Information management;
年份:
2008
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