Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing

Abstract

This article aims at presenting recent advances in Formal Concept Analysis (2010-2015), especially when the question is dealing with complex data (numbers, graphs, sequences, etc.) in domains such as databases (functional dependencies), data-mining (local pattern discovery), information retrieval and information fusion. As these advances are mainly published in artificial intelligence and FCA dedicated venues, a dissemination towards data mining and machine learning is worthwhile.

Cite

Text

Kaytoue et al. "Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015. doi:10.1007/978-3-319-23461-8_19

Markdown

[Kaytoue et al. "Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015.](https://mlanthology.org/ecmlpkdd/2015/kaytoue2015ecmlpkdd-pattern/) doi:10.1007/978-3-319-23461-8_19

BibTeX

@inproceedings{kaytoue2015ecmlpkdd-pattern,
  title     = {{Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing}},
  author    = {Kaytoue, Mehdi and Codocedo, Víctor and Buzmakov, Aleksey and Baixeries, Jaume and Kuznetsov, Sergei O. and Napoli, Amedeo},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2015},
  pages     = {227-231},
  doi       = {10.1007/978-3-319-23461-8_19},
  url       = {https://mlanthology.org/ecmlpkdd/2015/kaytoue2015ecmlpkdd-pattern/}
}