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 …

Inductive databases tightly integrate databases with data mining. The key ideas are that data
and patterns (or models) are handled in the same way and that an inductive query language …

Patterns are at the core of the discovery of a lot of knowledge from data but their uses are
limited due to their huge number and their mining cost. During the last decade, many works …

The last years witnessed an explosive progress in networking, storage, and processing
technologies resulting in an unprecedented amount of digitalization of data. Hence, there …

Condensed representations of patterns are at the core of many data mining works and there
are a lot of contributions handling data described by items. In this paper, we tackle …

Recently, inductive databases (IDBs) have been proposed to tackle the problem of
knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of …

Constraint-based mining is an active field of research which is a necessary step to achieve
interactive and successful KDD processes. The limitations of the task lies in languages …

Inductive databases (IDBs) have been proposed to afford the problem of knowledge
discovery from huge databases. With an IDB the user/analyst performs a set of very different …

Optimisation de requêtes inductives : application à l’extraction sous contraintes de règles d’association
Page 1 Optimisation de requêtes inductives : application à l’extraction sous contraintes de …

Pattern condensed representations are an important concept in inductive databases. They
aim at summarizing the information contained in a set of patterns. This paper is not an …