International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Learning decision tree classifiers
ACM Computing Surveys (CSUR)
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Machine Learning
Rule Induction with CN2: Some Recent Improvements
EWSL '91 Proceedings of the European Working Session on Machine Learning
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A hybrid learning system for recognizing user tasks from desktop activities and email messages
Proceedings of the 11th international conference on Intelligent user interfaces
SWISH: semantic analysis of window titles and switching history
Proceedings of the 11th international conference on Intelligent user interfaces
Data Mining
Supporting business intelligence by providing ontology-based end-user information self-service
OBI '08 Proceedings of the first international workshop on Ontology-supported business intelligence
Proceedings of the 1st Workshop on Context, Information and Ontologies
ContextAggregator: A heuristic-based approach for automated feature construction and selection
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Capture of lifecycle information in office applications
International Journal of Technology Enhanced Learning
Capturing and storing profile information for gamers playing multiplayer online games
Proceedings of the 8th Annual Workshop on Network and Systems Support for Games
Studying the factors influencing automatic user task detection on the computer desktop
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Information resource recommendation in knowledge processes
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
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The objective of novel e-learning strategies is to educate the learner during his actual work process. We focus on this new approach of in-place and in-time e-learning, which offers learning resources right in time the user is in need for it. A crucial factor for those modern task-oriented e-learning software is the user's context. To deliver learning resources to the user, which are both suitable and helpful with regards to the user's current work situation and his competencies, the application always has to consider the learner's actual work task, his environment, and history. In this paper, we present an architecture for the work task prediction, evaluate different machine learning algorithms in depth by their accuracy for that purpose and discuss the integration in our e-learning environment. This validates the possible usage in real-world business scenarios.