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» Learning from Multiple Sources of Inaccurate Data
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ICDCS
2002
IEEE
15 years 8 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
124
Voted
ICML
2006
IEEE
16 years 4 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
132
Voted
IEEECIT
2005
IEEE
15 years 9 months ago
Effectively Maintaining Multiple View Consistency in Web Warehouses
To make a web warehouse reflect the real web accurately, we should keep timeliness, freshness and consistency for the webviews. This paper fouses on one important part of webview...
Yan Zhang, Xiangdong Qin
ICDE
2009
IEEE
177views Database» more  ICDE 2009»
16 years 5 months ago
Light-Weight, Runtime Verification of Query Sources
Modern database systems increasingly make use of networked storage. This storage can be in the form of SAN's or in the form of shared-nothing nodes in a cluster. One type of a...
Tingjian Ge, Stanley B. Zdonik
129
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AI
2000
Springer
15 years 3 months ago
Learning to construct knowledge bases from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...