Tamara Savchuk

PhD in Technical Science, Professor

Vinnytsia National Technical University

21021, 95 Khmelnytske Shose Str., Vinnytsia, Ukraine

Modified algorithm for constructing FP trees in the analysis of emergency situations on the railway

05.08.2010

Tamara Savchuk , Serhii Yukhymchuk, Andriy Vozniuk
  • Keywords associative rules, emergency situations, pattern search, modified algorithm, construction of FP-tree, non-binary attribute, informativeness of the rule

Application of the APRIORI algorithm for the analysis of emergency situations in railway transport

03.12.2010

Tamara Savchuk , Kostiantyn Shchepanovskyi
  • Keywords associative rules, apriori, emergency situations, pattern search

System for modeling continuous random variables with graphically specified features "GenGraph"

11.08.2011

Tamara Savchuk , Volodymyr Zakolodiazhnyi, Andriy Kozachuk
  • Keywords continuous random variable, distribution law, deviant distributions, graphically given features of random variables, simulation modeling

Evaluation of the results of modeling the process of cluster analysis of emergency situations in railway transport

10.04.2012

Tamara Savchuk , Serhii Petryshyn
  • Keywords modeling, Data Mining, emergencies, rail transport, clustering, cluster

Information technology for forecasting the development of a man-made situation

11.08.2014

Tamara Savchuk , Andriy Kozachuk
  • Keywords information technology, simulation, multi-dimensional data representation

Automated decision-making for scaling a cloud application

03.08.2015

Tamara Savchuk , Andriy Kozachuk
  • Keywords cloud computing, scaling of a cloud application

Development of the information model of the associative rules search during the software development

10.08.2018

Tamara Savchuk , Nataliia Pryimak
  • Keywords software; information model; associative rules; Data Mining
  • DOI https://doi.org/10.31649/1999-9941-2018-42-2-43-48

Improved method of extraction of keywords in the web-text

06.12.2018

Tamara Savchuk , Yurii Horobets
  • Keywords Natural Language Processing: Text Mining; Keywords Extraction; withdrawal of terms; keyword extraction; natural language processing; computer linguistics
  • DOI https://doi.org/10.31649/1999-9941-2018-43-3-43-47