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Analysis and mathematical modeling of big data processing

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Abstract

Big data processing is an urgent and unresolved challenge that originates from the intensive development of information technology. The recent techniques lose their effectiveness rapidly as the volumes of data increase. In this article, we will put down our vision of the basic approaches and models related to problem solving, based on processing large data volumes. This article introduces a two-stage decomposition of a problem, related to assessing management options. The first stage of our original approach implies a semantic analysis of textual information; the second stage is built around finding association rules in a database, processing them via mathematical statistics methods, and converting data and objectives to a vector. We suggest processing the collected news events by a semantic model, which describes their key features and interconnections between them in a specified subject area. The classification-based association rules allow assessing the likelihood of a particular event using a set chain of events. This approach can be applied through the analysis of online news in a specified market segment.

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. Almaty Technological University, Almaty, Kazakhstan

    Kairat Imanbayev, Axulu Mukhanova & Lyazzat Baibolova

  2. The International Information Technology University, Almaty, Kazakhstan

    Bakhtgerey Sinchev

  3. Almaty Management University, Almaty, Kazakhstan

    Saulet Sibanbayeva & Natalya V. Korolyova

  4. M Tynyshpaev Kazakh Academy of Transport and Communications, Almaty, Kazakhstan

    Assel Nurgulzhanovа

  5. Abai Kazakh National Pedagogical University, Almaty, Kazakhstan

    Nurgali Zaurbekov

  6. Kazakh State Women’s Teacher Training University, Almaty, Kazakhstan

    Nurbike Zaurbekova

Authors
  1. Kairat Imanbayev
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  2. Bakhtgerey Sinchev
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  3. Saulet Sibanbayeva
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  4. Axulu Mukhanova
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  5. Assel Nurgulzhanovа
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  6. Nurgali Zaurbekov
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  7. Nurbike Zaurbekova
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  8. Natalya V. Korolyova
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  9. Lyazzat Baibolova
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Corresponding author

Correspondence to Bakhtgerey Sinchev.

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This article is part of the Topical Collection: Special Issue on Security of Mobile, Peer-to-peer and Pervasive Services in the Cloud

Guest Editors: B. B. Gupta, Dharma P. Agrawal, Nadia Nedjah, Gregorio Martinez Perez, and Deepak Gupta

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Imanbayev, K., Sinchev, B., Sibanbayeva, S. et al. Analysis and mathematical modeling of big data processing. Peer-to-Peer Netw. Appl. 14, 2626–2634 (2021). https://doi.org/10.1007/s12083-020-00978-3

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  • DOI: https://doi.org/10.1007/s12083-020-00978-3

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