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The minimum description length principle for pattern mining: a survey
E Galbrun - Data mining and knowledge discovery, 2022 - Springer
Mining patterns is a core task in data analysis and, beyond issues of efficient enumeration,
the selection of patterns constitutes a major challenge. The Minimum Description Length …
the selection of patterns constitutes a major challenge. The Minimum Description Length …
Interesting patterns
Pattern mining is one of the most important aspects of data mining. By far the most popular
and well-known approach is frequent pattern mining. That is, to discover patterns that occur …
and well-known approach is frequent pattern mining. That is, to discover patterns that occur …
An efficient algorithm for computing entropic measures of feature subsets
F Pennerath - Joint European Conference on Machine Learning and …, 2018 - Springer
Entropic measures such as conditional entropy or mutual information have been used
numerous times in pattern mining, for instance to characterize valuable itemsets or …
numerous times in pattern mining, for instance to characterize valuable itemsets or …
[КНИГА][B] Summarizing Data with Informative Patterns
M Mampaey - 2011 - search.proquest.com
The increasingly low cost and relative ease of data acquisition due to technological
advances, has allowed us to create vast repositories of data. The field of data mining is …
advances, has allowed us to create vast repositories of data. The field of data mining is …
L'extraction de règles de dépendance bien définies entre ensembles de variables multivaluées
F Pennerath - EGC'2012, 2012 - hal.science
Cet article étudie la faisabilité et l'intérêt de l'extraction de règles de dépendance entre
ensembles de variables multivaluées en comparaison du problème bien connu de …
ensembles de variables multivaluées en comparaison du problème bien connu de …