Business analytics technology based on NLP and ontologies

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Details

The monograph is intended for specialists in the design, development and implementation of business intelligence systems and technologies, information resources processing and analysis, global information systems, artificial intelligence systems, and Internet technologies in the fields of cybersecurity, electronic commerce, online marketing/advertising, complex Web-projects management, as well as for those obtaining an educational and scientific level of higher education in information technology knowledge. The business analytics methods and tools creation problem for various subject areas has been studied, as the tasks of developing mathematical models, solution methods and instrumental means for the information resources integration and the business analytics systems functioning with the effective intelligent models have been solved. The monograph is supported by the National Research Foundation of Ukraine, project number 187/0012 from 1/08/2024 (2023.04/0012) "Information system development for automatic detection of misinformation sources and inauthentic behaviour of chat users" from the contest "Science for strengthening the defence capability of Ukraine".

Autorentext
Victoria Vysotska, Andrii Berko and Yevhen Burov are professors at the Information Systems and Networks Department of Lviv Polytechnic National University. They have together than 900 publications (articles, books and conference papers).

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786207997855
    • Genre Information Technology
    • Anzahl Seiten 568
    • Größe H220mm x B150mm x T35mm
    • Jahr 2024
    • EAN 9786207997855
    • Format Kartonierter Einband
    • ISBN 6207997859
    • Veröffentlichung 15.08.2024
    • Titel Business analytics technology based on NLP and ontologies
    • Autor Victoria Vysotska , Andrii Berko , Yevhen Burov
    • Untertitel Information technology for business analytics based on semantic-linguistic and big data analysis: monograph
    • Gewicht 864g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Sprache Englisch

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