# Triadic Exploration and Exploration with Multiple Experts

arXiv: https://arxiv.org/abs/2102.02654 · HTML: https://mlsanity.com/paper/2102.02654/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 23 references that are in the map.
- First posted on arXiv 4 Feb 2021.

## Builds on (most cited first, 2 of 2)

- [Towards Collaborative Conceptual Exploration](https://mlsanity.com/paper/1712.08858/) (2017)
- [Interactive Collaborative Exploration using Incomplete Contexts](https://mlsanity.com/paper/1908.08740/) (2019)

## Built on by (most cited first, 1 of 1)

- [Attribute Exploration with Multiple Contradicting Partial Experts](https://mlsanity.com/paper/2205.15714/) (2022)

## Abstract (arXiv)

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.