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» Learning from Multiple Sources of Inaccurate Data
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147
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ML
2000
ACM
124views Machine Learning» more  ML 2000»
15 years 3 months ago
Text Classification from Labeled and Unlabeled Documents using EM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
150
Voted
CIKM
1995
Springer
15 years 7 months ago
Research Problems in Data Warehousing
The topic of data warehousing encompasses architectures, algorithms, and tools for bringing together selected data from multiple databases or other information sources into a sing...
Jennifer Widom
153
Voted
HICSS
2003
IEEE
174views Biometrics» more  HICSS 2003»
15 years 9 months ago
Semantic Interoperability in the Fixed Income Securities Industry: A Knowledge Representation Architecture for Dynamic Integrati
We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator’s...
Allen Moulton, Stuart E. Madnick, Michael Siegel
AAAI
2006
15 years 5 months ago
Efficient Active Fusion for Decision-Making via VOI Approximation
Active fusion is a process that purposively selects the most informative information from multiple sources as well as combines these information for achieving a reliable result ef...
Wenhui Liao, Qiang Ji
139
Voted
DOLAP
2008
ACM
15 years 5 months ago
Data mining-based fragmentation of XML data warehouses
With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail...
Hadj Mahboubi, Jérôme Darmont