Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing
Document typeConference report
PublisherSpringer International Publishing
Rights accessOpen Access
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.
CitationKaytoue, M., Codocedo, V., Aleksey, B., Baixeries, J. Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing. A: European Conference on Machine Learning / Principles and Practice of Knowledge Discovery in Databases. "Machine Learning and Knowledge Discovery in Databases". Porto: Springer International Publishing, 2015, p. 227-231.