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DAGSTUHL
2007
13 years 6 months ago
Discovering Knowledge from Local Patterns with Global Constraints
It is well known that local patterns are at the core of a lot of knowledge which may be discovered from data. Nevertheless, use of local patterns is limited by their huge number an...
Bruno Crémilleux, Arnaud Soulet
ISDA
2009
IEEE
13 years 11 months ago
From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining
Educational process mining (EPM) aims at (i) constructing complete and compact educational process models that are able to reproduce all observed behavior (process model discovery...
Nikola Trcka, Mykola Pechenizkiy
IDA
2006
Springer
13 years 4 months ago
Supporting bi-cluster interpretation in 0/1 data by means of local patterns
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
SDM
2007
SIAM
147views Data Mining» more  SDM 2007»
13 years 6 months ago
Constraint-Based Pattern Set Mining
Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
Luc De Raedt, Albrecht Zimmermann
DATAMINE
2010
166views more  DATAMINE 2010»
13 years 5 months ago
Optimal constraint-based decision tree induction from itemset lattices
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
Siegfried Nijssen, Élisa Fromont