DeepAI AI Chat
Log In Sign Up

Triadic Exploration and Exploration with Multiple Experts

by   Maximilian Felde, et al.

Formal Concept Analysis (FCA) provides a method called attribute exploration which helps a domain expert discover structural dependencies in knowledge domains that can be represented by a formal context (a cross table of objects and attributes). Triadic Concept Analysis is an extension of FCA that incorporates the notion of conditions. Many extensions and variants of attribute exploration have been studied but only few attempts at incorporating multiple experts have been made. In this paper we present triadic exploration based on Triadic Concept Analysis to explore conditional attribute implications in a triadic domain. We then adapt this approach to formulate attribute exploration with multiple experts that have different views on a domain.


page 1

page 2

page 3

page 4


Attribute Exploration with Multiple Contradicting Partial Experts

Attribute exploration is a method from Formal Concept Analysis (FCA) tha...

Towards a Unified Taxonomy of Biclustering Methods

Being an unsupervised machine learning and data mining technique, biclus...

Visualizing and Interacting with Concept Hierarchies

Concept Hierarchies and Formal Concept Analysis are theoretically well g...

Towards Collaborative Conceptual Exploration

In domains with high knowledge distribution a natural objective is to cr...

An Exploratory Study on Visual Exploration of Model Simulations by Multiple Types of Experts

Experts in different domains rely increasingly on simulation models of c...

Interactive Collaborative Exploration using Incomplete Contexts

A common representation of information about relations of objects and at...

Continuous Domains in Formal Concept Analysis

Formal Concept Analysis has proven to be an effective method of restruct...