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SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
9 years 5 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
10 years 4 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
ICDM
2009
IEEE
169views Data Mining» more  ICDM 2009»
9 years 1 months ago
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...
Quanquan Gu, Jie Zhou
WWW
2009
ACM
10 years 4 months ago
Constructing folksonomies from user-specified relations on flickr
Automatic folksonomy construction from tags has attracted much attention recently. However, inferring hierarchical relations between concepts from tags has a drawback in that it i...
Anon Plangprasopchok, Kristina Lerman
WWW
2009
ACM
9 years 10 months ago
A general framework for adaptive and online detection of web attacks
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...
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