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KDD
2009
ACM
205views Data Mining» more  KDD 2009»
16 years 18 days ago
From active towards InterActive learning: using consideration information to improve labeling correctness
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abraham Bernstein, Jiwen Li
MSR
2006
ACM
15 years 11 months ago
Tracking defect warnings across versions
Various static analysis tools will analyze a software artifact in order to identify potential defects, such as misused APIs, race conditions and deadlocks, and security vulnerabil...
Jaime Spacco, David Hovemeyer, William Pugh
HPDC
2005
IEEE
15 years 11 months ago
Genetic algorithm based automatic data partitioning scheme for HPF
good data partitioning scheme is the need of the time. However it is very diflcult to arrive at a good solution as the number of possible dutupartitionsfor a given real lifeprogra...
Sunil Kumar Anand, Y. N. Srikant
CIKM
2005
Springer
15 years 11 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
ICCV
1998
IEEE
15 years 10 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu