Digital technologies for searching and processing unstructured Information in modern higher education

DOI

10.2991/mtde-19.2019.124How to use a DOI?

Keywords

analysis of unstructured data, Big Data technologies, digital computer learning, digital technology, higher education, unstructured information

Abstract

The article presents the results of research on the application of Big Data digital technologies for unstructured information in modern higher education. Considered the importance of technology Big Data at the present stage of development, analyzed the prospects for application in higher education. An overview of the most common mathematical methods for extracting content from arrays of unstructured information is given: prediction method, TF-IDF method, hidden Markov model, PageRank reference ranking model, document indexing model, formalization method of processing unstructured Web-documents data. The present state of the art, trends in the development of Big Data and Web Mining technologies, and examples of companies that have implemented Big Data technologies in their activities are outlined.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - I.P. Mikhnev
AU  - N.A. Salnikova
AU  - S.V. Mikhneva
PY  - 2019/05
DA  - 2019/05
TI  - Digital technologies for searching and processing unstructured Information in modern higher education
BT  - Proceedings of the 1st International Scientific Conference "Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth" (MTDE 2019)
PB  - Atlantis Press
SP  - 619
EP  - 624
SN  - 2352-5428
UR  - https://doi.org/10.2991/mtde-19.2019.124
DO  - 10.2991/mtde-19.2019.124
ID  - Mikhnev2019/05
ER  -