Replacing synthetic pesticides and antimicrobials with plant-based extracts is a current
alternative adopted by traditional and family farmers and many organic farming pioneers. A …

Often, evaluative knowledge about the object area is formulated not only as an objective
(statistical) probability but also as a subjective (expert) probability. Expert evaluations may …

The discovery of patterns that accurately discriminate one class label from another remains
a challenging data mining task. Subgroup discovery (SD) is one of the frameworks that …

In this article, we present a new data type agnostic algorithm calculating a concept lattice
from heterogeneous and complex data. Our NextPriorityConcept algorithm is first introduced …

Biclustering represents an intrinsically complex problem, where the aim is to perform a
simultaneous row-and column-clustering of a given data matrix. Some recent approaches …

We introduce a multidimensional multiblock clustering (MDMBC) algorithm in this paper.
MDMBC can generate overlap** clusters with similar values along clusters of dimensions …

In this article we present a novel approach to rare sequence mining using pattern structures.
Particularly, we are interested in mining closed sequences, a type of maximal sub-element …

Background Patient data, such as electronic health records or adverse event reporting
systems, constitute an essential resource for studying Adverse Drug Events (ADEs). We …

In this chapter, we learn how to manage a dialogue relying on the discourse of its
utterances. We show how a dialogue structure can be built from an initial utterance. After …

Modeling user interaction in information systems (IS) using Process Mining techniques is an
intriguing requirement for designers looking to optimize the use of various IS functionalities …