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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
SIGIR
2008
ACM
13 years 8 months ago
On profiling blogs with representative entries
With an explosive growth of blogs, information seeking in blogosphere becomes more and more challenging. One example task is to find the most relevant topical blogs against a give...
Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun
CIKM
2006
Springer
14 years 11 days ago
Eigen-trend: trend analysis in the blogosphere based on singular value decompositions
The blogosphere--the totality of blog-related Web sites-has become a great source of trend analysis in areas such as product survey, customer relationship, and marketing. Existing...
Yun Chi, Belle L. Tseng, Jun'ichi Tatemura
BMCBI
2008
146views more  BMCBI 2008»
13 years 8 months ago
EST Express: PHP/MySQL based automated annotation of ESTs from expression libraries
Background: Several biological techniques result in the acquisition of functional sets of cDNAs that must be sequenced and analyzed. The emergence of redundant databases such as U...
Robin P. Smith, William J. Buchser, Marcus B. Lemm...
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 3 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava