Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
We investigate the following lower bound methods for regular languages: The fooling set technique, the extended fooling set technique, and the biclique edge cover technique. It is ...
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
Feng Pan, Wei Wang 0010, Anthony K. H. Tung, Jiong...
Partial replication is one type of optimization to speed up execution of queries submitted to large datasets. In partial replication, a portion of the dataset is extracted, re-org...
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...