Image de profil de vladishat
Drapeau de Ukraine Slavutych, Ukraine
Membre depuis le 4 décembre 2016
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Counselor on Mathematical Modelling, Data Mining, Computer Science, Statistical Analysis, Physics. Tutor on Artificial Intelligence, Data Mining, Decision Theory, Theory of Algorithms, Mathematical Modelling, Mathematics, Physics. Researcher on Data Mining and Knowledge Extraction, Non-Thermal Electromagnetic and Acoustic Field impact on humans, Irradiation Effect on physical and chemical properties of water and blood. Skills: Statistical Analysis, R-programming language, Matlab / Simulink, Rapid Miner, Excel, Word, complex problem solving. I do not outsource my work, I am a one man team.
$20 $ US / h
12 commentaires
  • 100%Travaux complétés
  • 96%Dans le budget
  • 98%À temps
  • 23%Taux de réembauche


Commentaires récents


Hierarchy of categories and classifying Wikipedia articles using XML dump

A hierarchical object is built from relationships between categories and their parents. It is used in a classifier, detecting if an article belongs to possibly far parent category. Available at:

Parsing Wikipedia XML dump

Article presents pretty simple parser for "pages-articles" XML dump file, capable of extracting body texts of pages, titles of pages with categories a page belongs, and names of categories with their parent categories. Body texts are not cleaned from markup, in particular because it may contain important information. For each Wikipedia's article page, calculate number of references to it from other pages. Available at:

Hidden revolution of human priorities: An analysis of biographical data from Wikipedia

A study of Wikipedia biographical pages is presented. It is shown that the dates of some historical cataclysms may be reproduced from peculiarities of lifespan changes over time. Categories were merged in just two classes. Being quite constant during almost the entire history, its ratio shows a sharp jump at the end of the 20th century mainly due to growth of Sport and Art groups over all others. Available at:

School of the future: smartphones as a laboratory in pocket of each student

The idea to unite student smartphones in a scale-able network and use the network to collect data of personal environmental sensors and health indicators is proposed. Such a monitoring at the global level would reveal the impact of the electromagnetic radiation, environmental pollution and weather factors on human health. Participation in these measurements increases the educational and social activity of students. Available at:


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