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» Mining interesting sets and rules in relational databases
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ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 3 months ago
Cross-Mining Binary and Numerical Attributes
We consider the problem of relating itemsets mined on binary attributes of a data set to numerical attributes of the same data. An example is biogeographical data, where the numer...
Gemma C. Garriga, Hannes Heikinheimo, Jouni K. Sep...
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 6 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
SAC
2010
ACM
13 years 3 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
PARMA
2004
136views Database» more  PARMA 2004»
13 years 10 months ago
Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis
Abstract. We are designing new data mining techniques on gene expression data, more precisely inductive querying techniques that extract a priori interesting bi-sets, i.e., sets of...
Céline Robardet, Ruggero G. Pensa, Jé...
ICDE
2007
IEEE
125views Database» more  ICDE 2007»
14 years 3 months ago
Analyses and Fundamental ideas for a Relation Extraction Approach
Relation extraction is a difficult open research problem with important applications in several fields such as knowledge management, web mining, ontology building, intelligent sys...
Lobna Karoui, Marie-Aude Aufaure, Nacéra Be...