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» Active Mining in a Distributed Setting
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KDD
2008
ACM
142views Data Mining» more  KDD 2008»
14 years 8 months ago
Efficient ticket routing by resolution sequence mining
IT problem management calls for quick identification of resolvers to reported problems. The efficiency of this process highly depends on ticket routing--transferring problem ticke...
Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos A...
APPT
2005
Springer
14 years 2 months ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk
JPDC
2007
138views more  JPDC 2007»
13 years 8 months ago
Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
Erion Plaku, Lydia E. Kavraki
FLAIRS
2001
13 years 9 months ago
Data Mining with Distributed Agents in E-Commerce Applications
In this paperwedescribe the prototypeof a yellowpageservice for customersin a distributed cyber-shoppingmall. This application combines distributed data miningwith agent technolog...
Yugyung Lee, James Geller, Eun Kyo Park, Changgyu ...
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
14 years 2 months ago
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Thomas Takeo Osugi, Kun Deng, Stephen D. Scott