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AAAI
2010
15 years 3 months ago
Transfer Learning in Collaborative Filtering for Sparsity Reduction
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...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...
103
Voted
BMCBI
2008
132views more  BMCBI 2008»
15 years 2 months ago
Mixture models for analysis of melting temperature data
Background: In addition to their use in detecting undesired real-time PCR products, melting temperatures are useful for detecting variations in the desired target sequences. Metho...
Christoffer Nellåker, Fredrik Uhrzander, Joa...
KDD
1999
ACM
206views Data Mining» more  KDD 1999»
15 years 6 months ago
Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions
Efficiently answering decision support queries is an important problem. Most of the work in this direction has been in the context of the data cube. Queries are efficiently answer...
Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S....
CIKM
2011
Springer
14 years 2 months ago
Tractable XML data exchange via relations
We consider data exchange for XML documents: given source and target schemas, a mapping between them, and a document conforming to the source schema, construct a target document a...
Rada Chirkova, Leonid Libkin, Juan L. Reutter
PERCOM
2010
ACM
15 years 6 months ago
Adaptive deployment for pervasive data gathering in connectivity-challenged environments
—Some current and future pervasive data driven applications must operate in ”extreme” environments where endto-end connectivity cannot be guaranteed at all times. In fact, it...
Tahiry Razafindralambo, Nathalie Mitton, Aline Car...