27 citations · 111 across the 18 of their papers we have counts for
21 papers
Delta-Closure Structure for Studying Data Distribution
Aleksey Buzmakov, Tatiana Makhalova, Sergei O. Kuznetsov +1
In this paper, we revisit pattern mining and study the distribution underlying a binary dataset thanks to the closure structure which is based on passkeys, i.e., minimum generators…
Experimental Study of Concise Representations of Concepts and Dependencies
Aleksey Buzmakov, Egor Dudyrev, Sergei O. Kuznetsov +2
In this paper we are interested in studying concise representations of concepts and dependencies, i.e., implications and association rules. Such representations are based on equiva…
Decision Concept Lattice vs. Decision Trees and Random Forests
Egor Dudyrev, Sergei O. Kuznetsov
Decision trees and their ensembles are very popular models of supervised machine learning. In this paper we merge the ideas underlying decision trees, their ensembles and FCA by pr…
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets
Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli
Pattern mining is well established in data mining research, especially for mining binary datasets. Surprisingly, there is much less work about numerical pattern mining and this res…
Discovery data topology with the closure structure. Theoretical and practical aspects
Tatiana Makhalova, Aleksey Buzmakov, Sergei O. Kuznetsov +1
In this paper, we are revisiting pattern mining and especially itemset mining, which allows one to analyze binary datasets in searching for interesting and meaningful association r…
Next Priority Concept: A new and generic algorithm computing concepts from complex and heterogeneous data
Christophe Demko, Karell Bertet, Cyril Faucher +2
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 introdu…