What is it about?
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.
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Why is it important?
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.
Perspectives
According to the results of preliminary studies and forecasts, it is possible to assume an increase in the efficiency of the work of program modules using the implementation of the developed formal representations by an average of 10–15% compared to the existing systems for searching and processing unstructured information.
Salnikova Natalia A
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This page is a summary of: New Industrial Technologies and Innovations for the Production of Nanostructured Materials, January 2019, Atlantis Press,
DOI: 10.2991/sicni-18.2019.18.
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