In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bo...
Advanced manufacturing environments nowadays involve a number of cooperating heterogeneous nodes, where each node supports a distinct activity, and their joint efforts and informa...
Hamideh Afsarmanesh, Ammar Benabdelkader, Louis O....
We consider a set of views stating possibly conflicting facts. Negative facts in the views may come, e.g., from functional dependencies in the underlying database schema. We want ...
The current integrated developments in network and computing give rise to a technical infrastructure for the information society which one may variously circumscribe by terms such...