research
∙
07/13/2023
Towards Ordinal Data Science
Order is one of the main instruments to measure the relationship between...
share
research
∙
04/17/2023
Automatic Textual Explanations of Concept Lattices
Lattices and their order diagrams are an essential tool for communicatin...
research
∙
04/10/2023
Ordinal Motifs in Lattices
Lattices are a commonly used structure for the representation and analys...
research
∙
04/06/2023
Maximal Ordinal Two-Factorizations
Given a formal context, an ordinal factor is a subset of its incidence r...
research
∙
02/19/2023
Greedy Discovery of Ordinal Factors
In large datasets, it is hard to discover and analyze structure. It is t...
research
∙
12/20/2022
Factorizing Lattices by Interval Relations
This work investigates the factorization of finite lattices to implode s...
research
∙
11/18/2022
Discovering Locally Maximal Bipartite Subgraphs
Induced bipartite subgraphs of maximal vertex cardinality are an essenti...
research
∙
05/31/2022
Attribute Exploration with Multiple Contradicting Partial Experts
Attribute exploration is a method from Formal Concept Analysis (FCA) tha...
research
∙
04/25/2022
Mapping Research Trajectories
Steadily growing amounts of information, such as annually published scie...
research
∙
09/21/2021
Towards Explainable Scientific Venue Recommendations
Selecting the best scientific venue (i.e., conference/journal) for the s...
research
∙
09/03/2021
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification
The automatic verification of document authorships is important in vario...
research
∙
06/21/2021
Attribute Selection using Contranominal Scales
Formal Concept Analysis (FCA) allows to analyze binary data by deriving ...
research
∙
06/17/2021
Topological Indoor Mapping through WiFi Signals
The ubiquitous presence of WiFi access points and mobile devices capable...
research
∙
04/14/2021
Boolean Substructures in Formal Concept Analysis
It is known that a (concept) lattice contains an n-dimensional Boolean s...
research
∙
02/04/2021
Force-Directed Layout of Order Diagrams using Dimensional Reduction
Order diagrams allow human analysts to understand and analyze structural...
research
∙
02/04/2021
Triadic Exploration and Exploration with Multiple Experts
Formal Concept Analysis (FCA) provides a method called attribute explora...
research
∙
10/23/2020
Topic Space Trajectories: A case study on machine learning literature
The annual number of publications at scientific venues, for example, con...
research
∙
08/23/2019
Interactive Collaborative Exploration using Incomplete Contexts
A common representation of information about relations of objects and at...
research
∙
07/22/2019
Orometric Methods in Bounded Metric Data
A large amount of data accommodated in knowledge graphs (KG) is actually...
research
∙
06/14/2019
Drawing Order Diagrams Through Two-Dimension Extension
Order diagrams are an important tool to visualize the complex structure ...
research
∙
05/16/2019
Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields
The field of collaborative interactive learning (CIL) aims at developing...
research
∙
03/02/2019
DimDraw -- A novel tool for drawing concept lattices
Concept lattice drawings are an important tool to visualize complex rela...
research
∙
02/03/2019
Discovering Implicational Knowledge in Wikidata
Knowledge graphs have recently become the state-of-the-art tool for repr...
research
∙
12/20/2018
Relevant Attributes in Formal Contexts
Computing conceptual structures, like formal concept lattices, is in the...
research
∙
09/19/2018
Distances for WiFi Based Topological Indoor Mapping
For localization and mapping of indoor environments through WiFi signals...
research
∙
05/15/2018
Intrinsic dimension and its application to association rules
The curse of dimensionality in the realm of association rules is twofold...
research
∙
01/24/2018
Intrinsic dimension of concept lattices
Geometric analysis is a very capable theory to understand the influence ...
research
∙
12/14/2017
Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data
The k-Nearest Neighbor (kNN) classification approach is conceptually sim...
research
∙
06/17/2016
