# Next Priority Concept: A new and generic algorithm computing concepts from complex and heterogeneous data

arXiv: https://arxiv.org/abs/1912.11038 · HTML: https://mlsanity.com/paper/1912.11038/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Dec 2019.

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

- [CNC-TP: Classifier Nominal Concept Based on Top-Pertinent Attributes](https://mlsanity.com/paper/2601.01976/) (2026)

## Abstract (arXiv)

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 and proved in the binary case as an extension of Bordat's algorithm with the notion of strategies to select only some predecessors of each concept, avoiding the generation of unreasonably large lattices. The algorithm is then extended to any type of data in a generic way. It is inspired from pattern structure theory, where data are locally described by predicates independent of their types, allowing the management of heterogeneous data.