980 search results - page 9 / 196 » A distributed learning framework for heterogeneous data sour... |
171
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SEDE
2010
14 years 9 months ago
2010
Enterprise-level applications are becoming complex with the need for event and stream processing, multiple query processing and data analysis over heterogeneous data sources such ...
127
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BIBM
2008
IEEE
15 years 6 months ago
2008
IEEE
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
137
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AAAI
2010
15 years 1 months ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
125
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BMCBI
2010
14 years 11 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
108
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DMIN
2006
15 years 1 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...