Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 6 Similar Profiles
method Earth & Environmental Sciences
machine learning Physics & Astronomy
data mining Earth & Environmental Sciences
public service Earth & Environmental Sciences
regional development Earth & Environmental Sciences
predictions Physics & Astronomy
Data mining Engineering & Materials Science
Economics Engineering & Materials Science

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Projects 2016 2016

Research Output 2015 2017

  • 2 Citations
  • 1 h-Index
  • 5 Conference contribution

CIN classification and prediction using machine learning methods

Chirkina, A., Medvedeva, M. & Komotskiy, E. 5 Jun 2017 Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836, 020010

Research output: Research - peer-reviewConference contribution

machine learning
predictions

The assessment of corruption impact on the inflow of foreign direct investment

Gasanova, A., Medvedev, A. N. & Komotskiy, E. I. 5 Jun 2017 Applied Mathematics and Computer Science: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. American Institute of Physics Inc., Vol. 1836, 020011

Research output: Research - peer-reviewConference contribution

economics
machine learning
cluster analysis
labor
organizing
1 Citations

About usage of data mining methods for fraud detection in the sphere of communal services

Medvedeva, M. A. & Komotskiy, E. I. 8 Jun 2016 International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015. American Institute of Physics Inc., Vol. 1738, 110011

Research output: Research - peer-reviewConference contribution

data mining
methodology

An assessment of barriers in regional development

Shelomentsev, A., Medvedev, A., Doroshenko, S., Kozlova, O. & Komotsky, E. 2016 16th International Multidisciplinary Scientific GeoConference, SGEM 2016: Science and Technologies in Geology, Exploration and Mining - Conference Proceedings. International Multidisciplinary Scientific Geoconference, Vol. 3, p. 11-18 8 p.

Research output: Research - peer-reviewConference contribution

regional development
Economics
economic development
social development
economics

Application of data mining techniques to detect fraud in the housing sector

Medvedeva, M. & Komotskiy, E. 2015 International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. 2 ed. International Multidisciplinary Scientific Geoconference, Vol. 1, p. 49-52 4 p.

Research output: Research - peer-reviewConference contribution

data mining
public service
method
Data mining