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» Evaluating role mining algorithms
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PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 4 months ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
14 years 4 months ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...
ICDM
2007
IEEE
103views Data Mining» more  ICDM 2007»
14 years 4 months ago
An Examination of Experimental Methodology for Classifiers of Relational Data
Experimental methodology for evaluating classification algorithms in relational (i.e., networked) data is complicated by dependencies between related data instances. We survey the...
Brian Gallagher, Tina Eliassi-Rad
PAKDD
2005
ACM
96views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Kernels over Relational Algebra Structures
Abstract. In this paper we present a novel and general framework based on concepts of relational algebra for kernel-based learning over relational schema. We exploit the notion of ...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
14 years 3 months ago
Clustering Multi-represented Objects with Noise
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...
Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin...