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» Mining Adaptive Ratio Rules from Distributed Data Sources
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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
13 years 10 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
INFFUS
2008
175views more  INFFUS 2008»
13 years 5 months ago
Adaptive optimization of join trees for multi-join queries over sensor streams
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...
Joseph S. Gomes, Hyeong-Ah Choi
ESCIENCE
2006
IEEE
13 years 9 months ago
ODIN: A Model for Adapting and Enriching Legacy Infrastructure
The Online Database of Interlinear Text (ODIN)1 is a database of interlinear text "snippets", harvested mostly from scholarly documents posted to the Web. Although large...
William D. Lewis
KDD
2009
ACM
211views Data Mining» more  KDD 2009»
14 years 5 months ago
Address standardization with latent semantic association
Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
13 years 3 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...