Registration Number
0225U000025,
(0122U001548)
, R & D reports
Title
The development of Data Science tools
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Розвиток інструментальних засобів Data Science
Head
Roskladka Andrii A., Доктор економічних наук
Registration Date
02-01-2025
Organization
State University of Trade and Economics
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Research and development of scientific and methodological approaches to the implementation of tools for analysis and processing of Big Data
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2. The study is devoted to the theoretical foundations and practical applications of data mining and visual analysis, which are an integral part of Data Science. According to IBM, 90% of the data obtained by humanity during its existence was obtained in the last seven years and by the end of 2025 the volume of digital data in the world will reach 175 zettabytes. Data science is an interdisciplinary field of scientific methods, processes and systems related to the extraction of knowledge from data in various forms. Data Science technologies allow you to transform data into information, and then information into knowledge. The work covers theoretical research in the field of data mining methodology, analysis stages, analytics tools and visual analysis for interpreting information.
The practical part includes specific examples of the authors' developments of scientific and research work using modern Data Science tools. In particular, research is presented in the field of analyzing the tone of messages and comments on social networks, designing a recommender system for selecting books, forecasting the activities of global technology giants, and solving current problems of incident management in systems for processing requests to the technical support service.
Product Description
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Ivanova Olena M.
HESELEVA Nataliia V.
Diachenko Maksym I.
Kulazhenko Volodymyr V.
Liskin Viacheslav O.
Lazorenko Vitalii V.
Mitsenko Serhii A.
Mishchenko Anna O.
Makoiedova Valentyna O.
PUSHA Anastasiia O.
Roskladka Andrii A.
STOLBOVA Nataliia S.
STOLIETOVA Iryna H.
Tarasiuk Anton M.
CHERNIAVSKA Viktoriia A.
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2025-01-02
