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» Learning from Multiple Sources of Inaccurate Data
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EDM
2009
184views Data Mining» more  EDM 2009»
15 years 1 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
124
Voted
ICDM
2009
IEEE
198views Data Mining» more  ICDM 2009»
15 years 10 months ago
Information Extraction for Clinical Data Mining: A Mammography Case Study
Abstract—Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) ...
Houssam Nassif, Ryan Woods, Elizabeth S. Burnside,...
IJCNN
2006
IEEE
15 years 9 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
KDD
2005
ACM
91views Data Mining» more  KDD 2005»
16 years 3 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
130
Voted
MOBISYS
2007
ACM
16 years 3 months ago
Context-for-wireless: context-sensitive energy-efficient wireless data transfer
Ubiquitous connectivity on mobile devices will enable numerous new applications in healthcare and multimedia. We set out to check how close we are towards ubiquitous connectivity ...
Ahmad Rahmati, Lin Zhong