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TASLP
2010
144views more  TASLP 2010»
15 years 1 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
16 years 6 days ago
On Multiple Query Optimization in Data Mining
Traditional multiple query optimization methods focus on identifying common subexpressions in sets of relational queries and on constructing their global execution plans. In this p...
Marek Wojciechowski, Maciej Zakrzewicz
CCR
2005
63views more  CCR 2005»
15 years 6 months ago
The internet measurement data catalog
Internet data remains one of the basic components of computer science network research. Despite its necessity, available data is limited by legal, social, and technical constraint...
Colleen Shannon, David Moore, Ken Keys, Marina Fom...
KDD
2002
ACM
146views Data Mining» more  KDD 2002»
16 years 7 months ago
Closed Set Mining of Biological Data
We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
John L. Pfaltz, Christopher M. Taylor
ICDE
2003
IEEE
73views Database» more  ICDE 2003»
16 years 8 months ago
Scalable Application-Aware Data Freshening
Distributed databases and other networked information systems use copies or mirrors to reduce latency and to increase availability. Copies need to be refreshed. In a loosely coupl...
Donald Carney, Sangdon Lee, Stanley B. Zdonik