RATIONALE FOR DEVELOPING A UNIVERSAL PLATFORM OF DATA MINING USING SCALABLE COMPUTING RESOURCES FOR HEALTH MANAGEMENT IN THE NAVY

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Abstract

The article explains the issues of implementation, upgrade and support of algorithms for analysis of large data sets, which are hidden from the end user. It is shown that, to create a universal platform of data mining using scalable computing resources for health management in the Navy requires the development of information-analytical core of intelligent system of high-performance analysis of large amounts of data that will successfully work as a developer of services for the creation of the health management system in the Navy (providing the environment and processing power for debugging and research of parallel and distributed versions of the algorithm, as well as a framework and a development tool for local development and debugging of algorithms) and analysts (providing services of data mining by various methods, data processing (conversion, cleaning, etc. etc.) to «unlimited» computing resources.

About the authors

I. G. Mosyagin

The High Command of the Navy

Author for correspondence.
Email: mosyagin-igor@mail.ru
Russian Federation

M. S. Kupriyanov

St. Petersburg State Electrotechnical University «LETI»

Email: mskupriyanov@mail.ru
Russian Federation

V. V. Shapovalov

St. Petersburg State Electrotechnical University «LETI»

Email: asvv@incomsys.ru
Russian Federation

Y. A. Shichkina

St. Petersburg State Electrotechnical University «LETI»

Email: astrange.y@mail.ru
Russian Federation

References

  1. Мосягин И.Г. Стратегия развития морской медицины в России на период до 2020 года и дальнейшую перспективу // Морская медицина. - 2015. - Т. 1. - С. 10-20.
  2. Копылов Д.С., Шаповалов В.В., Шерстюк Ю.М. Комплексный анализ данных диспансеризации населения региона // Медицинская техника. - 2014. - № 2. - С. 27-29.
  3. Куприянов М.С., Барсегян А.А., Холод И.И., Елизаров С.И. Анализ данных и процессов. - СПб.: БхВ, 2009. - 512 с.
  4. Куприянов М.С., Голубев И.А., Холод И.И. и др. Интеллектуальный анализ распределенных данных на базе облачных вычислений. - СПб.: Изд-во СПбГЭТУ «ЛЭТИ», 2011. - 148 с.
  5. Шаповалов В.В. Разработка и обоснование применения автоматизированных систем для мониторинга и скринирующей диагностики нарушений здоровья. - СПб.: ООО «ИПК «Коста», 2006. - 432 с.

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