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» A Perspective on Databases and Data Mining
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 9 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
15 years 2 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo
SIGSOFT
2007
ACM
16 years 5 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
WWW
2008
ACM
16 years 5 months ago
User oriented link function classification
Currently most link-related applications treat all links in the same web page to be identical. One link-related application usually requires one certain property of hyperlinks but...
Mingliang Zhu, Weiming Hu, Ou Wu, Xi Li, Xiaoqin Z...
WIDM
2006
ACM
15 years 10 months ago
Coarse-grained classification of web sites by their structural properties
In this paper, we identify and analyze structural properties which reflect the functionality of a Web site. These structural properties consider the size, the organization, the co...
Christoph Lindemann, Lars Littig