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» Evaluating algorithms that learn from data streams
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SRDS
2006
IEEE
16 years 1 months ago
Reducing the Availability Management Overheads of Federated Content Sharing Systems
We consider the problem of ensuring high data availability in federated content sharing systems. Ideally, such a system would provide high data availability in a device transparen...
Christopher Peery, Thu D. Nguyen, Francisco Matias...
SEMWEB
2010
Springer
15 years 5 months ago
Using Reformulation Trees to Optimize Queries over Distributed Heterogeneous Sources
Abstract. In order to effectively and quickly answer queries in environments with distributed RDF/OWL, we present a query optimization algorithm to identify the potentially relevan...
Yingjie Li, Jeff Heflin
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 7 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
VLDB
2002
ACM
184views Database» more  VLDB 2002»
16 years 7 months ago
Database indexing for large DNA and protein sequence collections
Our aim is to develop new database technologies for the approximate matching of unstructured string data using indexes. We explore the potential of the suffix tree data structure i...
Ela Hunt, Malcolm P. Atkinson, Robert W. Irving
EMMCVPR
2007
Springer
16 years 1 months ago
3D Computation of Gray Level Co-occurrence in Hyperspectral Image Cubes
This study extended the computation of GLCM (gray level co-occurrence matrix) to a three-dimensional form. The objective was to treat hyperspectral image cubes as volumetric data s...
Fuan Tsai, Chun-Kai Chang, Jian-Yeo Rau, Tang-Huan...