Technology of cleaning and transforming data using the knowledge discovery in databases (KDD) technology for fast application of data mining methods

Y. A. Shichkina, A. B. Degtyarev, A. A. Koblov

Результат исследований: Научные публикации в периодических изданияхстатья в журнале по материалам конференциирецензирование

3 Цитирования (Scopus)

Аннотация

For large data amounts today brings a nu mber of reasons. The increase in databases makes new and very serious hardware requirements of data centers and in recent years, it requires greater investment in hardware, software, the corresponding work and management. The decision of the main problems associated with the actual har dware infrastructure of data center, it must be said, it is much cheaper than the improvement of the software. But this is only a temporary solution. We must look for a global solution to the problem of large data. It is necessary to improve the methods of data processing with the help of the equipment that is available. This article discusses methods of cleaning and transforming data within the Knowledge Discovery in Databases technology for fast applying data mining techniques. In particular, the article shows how the metho d can significantly reduce the data selection for query building in noSQL databases on the example of MongoDB.

Язык оригиналаанглийский
Страницы (с-по)428-434
Число страниц7
ЖурналCEUR Workshop Proceedings
Том1787
СостояниеОпубликовано - 1 янв 2016
Событие7th International Conference Distributed Computing and Gridtechnologies in Science and Education, GRID 2016 - Dubna, Российская Федерация
Продолжительность: 4 июл 20169 июл 2016

Предметные области Scopus

  • Компьютерные науки (все)

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