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» Discovering Classification from Data of Multiple Sources
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SDM
2008
SIAM
122views Data Mining» more  SDM 2008»
15 years 3 months ago
Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu
CHI
2008
ACM
16 years 2 months ago
What drives content tagging: the case of photos on Flickr
We examine tagging behavior on Flickr, a public photosharing website. We build on previous qualitative research that exposed a taxonomy of tagging motivations, as well as on socia...
Oded Nov, Mor Naaman, Chen Ye
BMCBI
2010
147views more  BMCBI 2010»
15 years 1 months ago
baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
Background: High throughput sequencing has become an important technology for studying expression levels in many types of genomic, and particularly transcriptomic, data. One key w...
Thomas J. Hardcastle, Krystyna A. Kelly
VLDB
2005
ACM
140views Database» more  VLDB 2005»
15 years 7 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
BMCBI
2010
126views more  BMCBI 2010»
14 years 11 months ago
Systematic integration of experimental data and models in systems biology
Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction ...
Peter Li, Joseph O. Dada, Daniel Jameson, Irena Sp...