5 citations · 5 across the 4 of their papers we have counts for
4 papers
How near-duplicate detection improves editors' and authors' publishing experience
Yury Kashnitsky, Vaishnavi Kandala, Egbert van Wezenbeek +3
We describe a system that helps identify manuscripts submitted to multiple journals at the same time. Also, we discuss potential applications of the near-duplicate detection techno…
Graphlet-based lazy associative graph classification
Yury Kashnitsky, Sergei O. Kuznetsov
The paper addresses the graph classification problem and introduces a modification of the lazy associative classification method to efficiently handle intersections of graphs. Grap…
Can FCA-based Recommender System Suggest a Proper Classifier?
Yury Kashnitsky, Dmitry I. Ignatov
The paper briefly introduces multiple classifier systems and describes a new algorithm, which improves classification accuracy by means of recommendation of a proper algorithm to a…
Visual analytics in FCA-based clustering
Yury Kashnitsky
Visual analytics is a subdomain of data analysis which combines both human and machine analytical abilities and is applied mostly in decision-making and data mining tasks. Triclust…