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KDD
2008
ACM
137views Data Mining» more  KDD 2008»
15 years 10 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
AVI
2010
14 years 11 months ago
Advanced visual analytics interfaces
Advanced visual interfaces, like the ones found in informaualization, intend to offer a view on abstract data spaces to enable users to make sense of them. By mapping data to visu...
Daniel A. Keim, Peter Bak, Enrico Bertini, Daniela...
KDD
2003
ACM
133views Data Mining» more  KDD 2003»
15 years 10 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian
KDD
2010
ACM
318views Data Mining» more  KDD 2010»
14 years 8 months ago
DivRank: the interplay of prestige and diversity in information networks
Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
Qiaozhu Mei, Jian Guo, Dragomir R. Radev
ECAI
2008
Springer
14 years 11 months ago
Extracting Semantic Annotations from Moodle Data
The purpose of this paper is to provide a solution which allows automatic reasoning processes over Moodle activities logs, in order to obtain user-personalized recommendations. Act...
Mihai Gabroveanu, Ion-Mircea Diaconescu