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researcher

S. Kuznetsov

12 papers hereh-index 395.7k citations203 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author7
  • last author3

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.DB2
  • cs.DM2
  • cs.LG2
  • cs.DS1
  • cs.LO1
same name
  • S. Kuznetsov — 29 papers, h 23
  • S. Kuznetsov — 7 papers, h 9
  • S. Kuznetsov — 2 papers, h 18
  • S. Kuznetsov — 1 paper, h 10
  • S. Kuznetsov — 1 paper, h 5
  • S. Kuznetsov — 1 paper, h 15

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152022
most citedRevisiting Pattern Structure Projections

10 citations · 20 across the 7 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.DM2015★ 10 cited

Revisiting Pattern Structure Projections

Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli

Formal concept analysis (FCA) is a well-founded method for data analysis and has many applications in data mining. Pattern structures is an extension of FCA for dealing with comple…

cs.AI2015★ 8 cited

Fast Generation of Best Interval Patterns for Nonmonotonic Constraints

Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli

In pattern mining, the main challenge is the exponential explosion of the set of patterns. Typically, to solve this problem, a constraint for pattern selection is introduced. One o…

cs.DS2015

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…

cs.AI2015★ 2 cited

On mining complex sequential data by means of FCA and pattern structures

Aleksey Buzmakov, Elias Egho, Nicolas Jay +3

Nowadays data sets are available in very complex and heterogeneous ways. Mining of such data collections is essential to support many real-world applications ranging from healthcar…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.