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ICDM
2005
IEEE
129views Data Mining» more  ICDM 2005»
13 years 10 months ago
Mining Chains of Relations
Traditional data mining applications consider the problem of mining a single relation between two attributes. For example, in a scientific bibliography database, authors are rela...
Foto N. Afrati, Gautam Das, Aristides Gionis, Heik...
FLAIRS
2004
13 years 5 months ago
Discovering Causal Chains by Integrating Plan Recognition and Sequential Pattern Mining
In this paper we define the notion of causal chains. Causal chains are a particular kind of sequential patterns that reflect causality relations according to background knowledge....
Shreeram Sahasrabudhe, Héctor Muñoz-...
TKDE
2011
362views more  TKDE 2011»
12 years 11 months ago
A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases
—This work introduces a link-analysis procedure for discovering relationships in a relational database or a graph, generalizing both simple and multiple correspondence analysis. ...
Luh Yen, Marco Saerens, François Fouss
ICDM
2003
IEEE
118views Data Mining» more  ICDM 2003»
13 years 9 months ago
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains
In this work, we show that Kleinberg’s hubs and authorities model is closely related to both correspondence analysis, a well-known multivariate statistical technique, and a parti...
François Fouss, Marco Saerens, Jean-Michel ...
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
13 years 8 months ago
Modeling relational events via latent classes
Many social networks can be characterized by a sequence of dyadic interactions between individuals. Techniques for analyzing such events are of increasing interest. In this paper,...
Christopher DuBois, Padhraic Smyth