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CTW
2002
91views more  CTW 2002»
15 years 6 months ago
Can We Ever Escape from Data Overload? A Cognitive Systems Diagnosis
ive. This characterization leads to model-based abstractions and representation design techniques as potential solutions. Many of the existing approaches to coping with data overlo...
David D. Woods, Emily S. Patterson, Emilie M. Roth
WWW
2010
ACM
15 years 5 months ago
A framework for trust establishment and assessment on the web of data
With the enormous and still growing amount of data and user interaction on the Web, it becomes more and more necessary for data consumers to be able to assess the trustworthiness ...
Qi Gao, Geert-Jan Houben
ICDE
2006
IEEE
204views Database» more  ICDE 2006»
16 years 8 months ago
Working Models for Uncertain Data
This paper explores an inherent tension in modeling and querying uncertain data: simple, intuitive representations of uncertain data capture many application requirements, but the...
Anish Das Sarma, Omar Benjelloun, Alon Y. Halevy, ...
ICML
2007
IEEE
16 years 7 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...
CIKM
2008
Springer
15 years 8 months ago
Scaling up duplicate detection in graph data
Duplicate detection determines different representations of realworld objects in a database. Recent research has considered the use of relationships among object representations t...
Melanie Herschel, Felix Naumann