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- Jean-François Boulicaut, Artur Bykowski, Christophe Rigotti
- Data Mining and Knowledge Discovery
- 2003

Given a large collection of transactions containing items, a basic common data mining problem is to extract the so-called frequent itemsets (i.e., sets of items appearing in at least a given number… (More)

Set pattern discovery from binary relations has been extensively studied during the last decade. In particular, many complete and efficient algorithms for frequent closed set mining are now… (More)

Given a large collection of transactions containing items, a basic common data mining problem is to extract the so-called frequent itemsets (i.e., set of items appearing in at least a given number of… (More)

- Toon Calders, Christophe Rigotti, Jean-François Boulicaut
- Constraint-Based Mining and Inductive Databases
- 2004

Solving inductive queries which have to return complete collections of patterns satisfying a given predicate has been studied extensively the last few years. The specific problem of frequent set… (More)

Set pattern discovery from binary relations has been extensively studied during the last decade. In particular, many complete and efficient algorithms which extract frequent closed sets are now… (More)

Thanks to an important research effort the last few years, inductive queries on set patterns and complete solvers which can evaluate them on large 0/1 data sets have been proved extremely useful.… (More)

- Céline Becquet, Sylvain Blachon, Baptiste Jeudy, Jean-François Boulicaut, Olivier Gandrillon
- Genome Biology
- 2001

The association-rules discovery (ARD) technique has yet to be applied to gene-expression data analysis. Even in the absence of previous biological knowledge, it should identify sets of genes whose… (More)

- Jean-François Boulicaut, Cyrille Masson
- The Data Mining and Knowledge Discovery Handbook
- 2005

Many Data Mining algorithms enable to extract different types of patterns from data (e.g., local patterns like itemsets and association rules, models like classifiers). To support the whole knowledge… (More)

- Baptiste Jeudy, Jean-François Boulicaut
- Intell. Data Anal.
- 2002

Levelwise algorithms (e.g., the Apriori algorithm) have been proved e ective for association rule mining from sparse data. However, in many practical applications, the computation turns to be… (More)

Databases of sequences can contain consecutive repetitions of items. This is the case in particular when some items represent discretized quantitative values. We show that on such databases, a… (More)