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» Modeling Relational Data as Graphs for Mining
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107
Voted
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 4 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
CORR
2007
Springer
151views Education» more  CORR 2007»
15 years 3 months ago
Decision tree modeling with relational views
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Fadila Bentayeb, Jérôme Darmont
131
Voted
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
15 years 10 months ago
Resolving Identity Uncertainty with Learned Random Walks
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Ted Sandler, Lyle H. Ungar, Koby Crammer
147
Voted
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
16 years 4 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
126
Voted
ICDM
2005
IEEE
142views Data Mining» more  ICDM 2005»
15 years 9 months ago
Shortest-Path Kernels on Graphs
Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. For graph data, a whole toolbox of data mining algorithms becomes available b...
Karsten M. Borgwardt, Hans-Peter Kriegel