Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments

ABSTRACT This paper extends our previous work on a Multi-Feature Hierarchical Sequential PAttern Mining (MFH-SPAM) algorithm for deriving students' behavior patterns from their activity logs in an Open-Ended Learning Environment(OELE). The new algorithm is computationally efficient, and we compare the results generated by the two algorithms

A Flexible Infrastructure for Distributed Deployment in Adaptive Sensor Webs.

Abstract—Distributed sensor webs typically operate in dynamic environments where operating conditions, transient phenomena, availability of resources, and network connection quality change frequently and unpredictably. Often these changes can neither be completely anticipated nor accurately described during development or deployment. Our prior work has described how we developed agents and services that are capable of monitoring these changing conditions and adapting system parameters using the CORBA Component Model (CCM) deployment infrastructure as part of the Multiagen