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» Association rules mining using heavy itemsets
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ICFCA
2007
Springer
14 years 1 months ago
A New and Useful Syntactic Restriction on Rule Semantics for Tabular Datasets
Different rule semantics have been successively defined in many contexts such as implications in artificial intelligence, functional dependencies in databases or association rules...
Marie Agier, Jean-Marc Petit
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 4 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
SAC
2010
ACM
14 years 4 months ago
Background knowledge in formal concept analysis: constraints via closure operators
The aim of this short paper is to present a general method of using background knowledge to impose constraints in conceptual clustering of object-attribute relational data. The pr...
Radim Belohlávek, Vilém Vychodil
AIME
2009
Springer
13 years 7 months ago
Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis
Abstract. In pharmacovigilance, linking the adverse reactions by patients to drugs they took is a key activity typically based on the analysis of patient reports. Yet generating po...
Mohamed Rouane Hacene, Yannick Toussaint, Petko Va...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 10 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...