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» On Multiple Query Optimization in Data Mining
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SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 9 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
RSCTC
2000
Springer
143views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
On Efficient Construction of Decision Trees from Large Databases
The main task in decision tree construction algorithms is to find the "best partition" of the set of objects. In this paper, we investigate the problem of optimal binary ...
Hung Son Nguyen
SBACPAD
2004
IEEE
144views Hardware» more  SBACPAD 2004»
13 years 9 months ago
Improving Server Performance on Transaction Processing Workloads by Enhanced Data Placement
Modern servers access large volumes of data while running commercial workloads. The data is typically spread among several storage devices (e.g. disks). Carefully placing the data...
Juan Rubio, Charles Lefurgy, Lizy Kurian John
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
13 years 6 months ago
On optimal AUV track-spacing for underwater mine detection
— This work addresses the task of designing the optimal survey route that an autonomous underwater vehicle (AUV) should take in mine countermeasures (MCM) operations. It is assum...
David P. Williams
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 9 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim