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» Set cover algorithms for very large datasets
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IJCAI
2003
13 years 9 months ago
Inductive Learning in Less Than One Sequential Data Scan
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...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo
DLT
2006
13 years 9 months ago
Finding Lower Bounds for Nondeterministic State Complexity Is Hard
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 ...
Hermann Gruber, Markus Holzer
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
14 years 2 months ago
Finding Representative Set from Massive Data
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...
CCGRID
2005
IEEE
14 years 2 months ago
Servicing range queries on multidimensional datasets with partial replicas
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...
Li Weng, Ümit V. Çatalyürek, Tahs...
APWEB
2005
Springer
14 years 2 months ago
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data
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...
Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang