Issues in data stream management
ACM SIGMOD Record
Finding recent frequent itemsets adaptively over online data streams
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Pattern-Based End-User Development with Learning Objects
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Multi-dimensional regression analysis of time-series data streams
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Reusability on learning object repository
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
Evaluating relevance feedback algorithms for searching on small displays
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
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With the popularity of Internet technologies and the development of search engine, people request various kinds of information through Web-based services. In distance learning (or e-learning), SCORM (i.e., Sharable Content Object Reference Model) provides an efficient way for learning objects to be reused and shared. In order to meet a federated repository goal such that Learning Objects are found, the CORDRA (Content Object Repository Discovery and Registration/Resolution Architecture) provides a common architecture for discovering and sharing these Learning Objects. We follow SCORM and CORDRA specifications to develop a registry system, called MINE Registry, for storing and sharing Learning Objects. As a contribution, we proposed the concept of “Reusability Tree” to represent the relation among relevant Learning Objects. In this paper, we further make a deeper step to collect relevant information while utilizing Learning Objects, such as citations and time period persisted. Through theses information, we propose a mechanism to weight and rank Learning Objects. As a new contribution, we provide a mechanism and tool called “Search Guider” to assist users in finding relevant information based on individual requirements.