1 citations · 1 across the 3 of their papers we have counts for
7 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…
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…
Linked Open Data Validity -- A Technical Report from ISWS 2018
Tayeb Abderrahmani Ghor, Esha Agrawal, Mehwish Alam +68
Linked Open Data (LOD) is the publicly available RDF data in the Web. Each LOD entity is identfied by a URI and accessible via HTTP. LOD encodes globalscale knowledge potentially a…
From-Below Boolean Matrix Factorization Algorithm Based on MDL
Tatiana Makhalova, Martin Trnecka
During the past few years Boolean matrix factorization (BMF) has become an important direction in data analysis. The minimum description length principle (MDL) was successfully ada…