Order is one of the main instruments to measure the relationship between...
Lattices and their order diagrams are an essential tool for communicatin...
Lattices are a commonly used structure for the representation and analys...
Given a formal context, an ordinal factor is a subset of its incidence
r...
In large datasets, it is hard to discover and analyze structure. It is t...
This work investigates the factorization of finite lattices to implode
s...
Induced bipartite subgraphs of maximal vertex cardinality are an essenti...
Attribute exploration is a method from Formal Concept Analysis (FCA) tha...
Steadily growing amounts of information, such as annually published
scie...
Selecting the best scientific venue (i.e., conference/journal) for the
s...
The automatic verification of document authorships is important in vario...
Formal Concept Analysis (FCA) allows to analyze binary data by deriving
...
The ubiquitous presence of WiFi access points and mobile devices capable...
It is known that a (concept) lattice contains an n-dimensional Boolean
s...
Order diagrams allow human analysts to understand and analyze structural...
Formal Concept Analysis (FCA) provides a method called attribute explora...
The annual number of publications at scientific venues, for example,
con...
A common representation of information about relations of objects and
at...
A large amount of data accommodated in knowledge graphs (KG) is actually...
Order diagrams are an important tool to visualize the complex structure ...
The field of collaborative interactive learning (CIL) aims at developing...
Concept lattice drawings are an important tool to visualize complex rela...
Knowledge graphs have recently become the state-of-the-art tool for
repr...
Computing conceptual structures, like formal concept lattices, is in the...
For localization and mapping of indoor environments through WiFi signals...
The curse of dimensionality in the realm of association rules is twofold...
Geometric analysis is a very capable theory to understand the influence ...
The k-Nearest Neighbor (kNN) classification approach is conceptually sim...
Much attention has been given to the task of gender inference of Twitter...