This paper is a tutorial on Formal Concept Analysis (FCA) and its applications. FCA is an
applied branch of Lattice Theory, a mathematical discipline which enables formalisation of …

This paper presents several definitions of “optimal patterns” in triadic data and results of
experimental comparison of five triclustering algorithms on real-world and synthetic …

Trajectory mining is a challenging and crucial problem especially in the context of smart
cities where many applications depend on human behaviors. In this paper, we characterize …

This paper presents our work on mining visitor trajectories in Hecht Museum (Haifa, Israel),
within the framework of CrossCult Eu-ropean Project about cultural heritage. We present a …

Knowledge discovery in database (KDD) is a process which is applied to possibly large
volumes of data for discovering patterns which can be significant and useful. In this thesis …

Nowadays, more and more data of different kinds is becoming available. Various datasets
contain valuable information that could help to solve many practical problems or to lead to a …

The supervised descriptive rule discovery concept groups a set of data mining techniques
whose objective is to describe data with respect to a property of interest. Among the …

Discovery of the pattern search space is an essential component of Itemset Mining. The most
common approach to reduce pattern search space is to compute only frequent closed …

This paper presents our work about mining visitor trajectories, within the framework of
CrossCult European Project about cultural heritage. We present a theoretical and practical …

Even if they are uncommon, Rare Diseases (RDs) are numerous and generally sever, what
makes their study important from a health-care point of view. Few databases provide …