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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">kaz29</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Казахстанско-Британского технического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Herald of the Kazakh-British Technical University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-6688</issn><issn pub-type="epub">2959-8109</issn><publisher><publisher-name>Казахстанско-Британский Технический Университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.55452/1998-6688-2021-18-2-33-38</article-id><article-id custom-type="elpub" pub-id-type="custom">kaz29-80</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ФИЗИКО-МАТЕМАТИЧЕСКИЕ И ТЕХНИЧЕСКИЕ НАУКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PHYSICAL, MATHEMATICAL AND TECHNICAL SCIENCES</subject></subj-group></article-categories><title-group><article-title>КОМПЛЕКСНЫЙ ПОДХОД К ОБРАБОТКЕ СОБЫТИЙ АБОНЕНТСКИХ ДАННЫХ ОПЕРАТОРА СВЯЗИ</article-title><trans-title-group xml:lang="en"><trans-title>COMPLEX EVENT PROCESSING APPROACH ON SUBSCRIBERS’ DATA OF TELECOM OPERATOR</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Жумекенов</surname><given-names>А.</given-names></name><name name-style="western" xml:lang="en"><surname>Zhumekenov</surname><given-names>A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>050000, Алматы</p></bio><bio xml:lang="en"><p>Faculty of Information Technology</p><p>050000, Almaty</p></bio><email xlink:type="simple">zhumekenov@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Казахстанско-Британский технический университет<country>Казахстан</country></aff><aff xml:lang="en">Kazakh-British technical university<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>04</day><month>11</month><year>2021</year></pub-date><volume>18</volume><issue>2</issue><fpage>33</fpage><lpage>38</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Жумекенов А., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Жумекенов А.</copyright-holder><copyright-holder xml:lang="en">Zhumekenov A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vestnik.kbtu.edu.kz/jour/article/view/80">https://vestnik.kbtu.edu.kz/jour/article/view/80</self-uri><abstract><p>В настоящее время использование мобильных телефонов достигло чрезвычайно больших масштабов во всем мире и продолжает стремительный рост, в связи с чем существует большая потребность в расшифровке важных данных, которые скрыты от обычных пользователей. Даже, если все необходимые данные по абонентам получены, процессы компаний остаются статичными и не могут динамически изменяться для адаптации к реальным потребностям бизнеса, что снижает достижимые преимущества. Каждую секунду мобильные пользователи генерируют миллионы необработанных и неструктурированных данных (например, информация о звонках, СМС, пользование интернетом), которые хранятся операторами связи на серверах данных. Используя подход комплексной обработки событий (КОС) в режиме реального времени, мы можем получить информацию по абонентам, которая действительно важна для бизнеса телеком оператора, и использовать ее для монетизации. В этом документе мы представляем решение, которое объединяет сильные стороны КОС и методологию автоматизации бизнес-процессов, что позволяет реагировать на потребности сегодняшней быстро меняющейся среды и требований со стороны бизнес заказчиков. Мы продемонстрируем 3 сценария использования, чтобы показать эффективность подхода КОС. Не следует рассматривать реализацию подхода КОС к данным абонентов как попытку извлечь бизнес выгоду с помощью монетизации услуг, а следует рассмотреть как возможность, позволяющую абонентам получать таргетированные предложения и сервисы.</p></abstract><trans-abstract xml:lang="en"><p>Nowadays, the usage of mobile phones reached extremely large worldwide proportions and increasing dramatically, there is a stronger need to decrypt the important information that is hidden among them. Even all needed information is gained, the processes of companies remain static and can’t be changed dynamically to adapt to actual business needs, reducing the advantages that can be achieved. Every second, millions of raw information are generating by mobile users, which are handled by Telecom operators in data servers. By using the Complex Event Processing (CEP) approach in real-time, we can obtain the information that matters to our business and use it to monetize the vast amount of data that is being collected through mobile phone usage. In this paper, we present an internally developed framework that combines the strengths of CEP and business process implementations, which allows us to react to the needs of today’s fast-changing environment and requirements. We demonstrate 3 simple use case scenarios to show the effectiveness of the CEP approach in our situation. The importance of implementing the CEP approach on subscribers’ data should not be overlooked as means of trying to capitalize on new services but have to be considered as a challenge to allow subscribers get more customized offers and services.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>комплексная обработка событий</kwd><kwd>анализ телекоммуникационных данных</kwd><kwd>обработка информации</kwd><kwd>целевые кампании</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Complex Event Processing</kwd><kwd>Telecom Data Analysis</kwd><kwd>Information Processing</kwd><kwd>Targeted campaigns</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">https://datareportal.com/reports/digital-2019-global-digital-overview .</mixed-citation><mixed-citation xml:lang="en">https://datareportal.com/reports/digital-2019-global-digital-overview .</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Digital 2019: Global digital overview.</mixed-citation><mixed-citation xml:lang="en">Digital 2019: Global digital overview.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Using Complex Event Processing for Dynamic Business Process Adaptation.</mixed-citation><mixed-citation xml:lang="en">Using Complex Event Processing for Dynamic Business Process Adaptation.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Gabriel Hermosillo, Lionel Seinturier, Laurence Duchien. 2010 IEEE International Conference on Services Computing.</mixed-citation><mixed-citation xml:lang="en">Gabriel Hermosillo, Lionel Seinturier, Laurence Duchien. 2010 IEEE International Conference on Services Computing.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Processing Flows of Information: From Data Stream to Complex Event Processing.</mixed-citation><mixed-citation xml:lang="en">Processing Flows of Information: From Data Stream to Complex Event Processing.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Alessandro Margara, Gianpaolo Cugola</mixed-citation><mixed-citation xml:lang="en">Alessandro Margara, Gianpaolo Cugola</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">SoLoMo analytics for telco Big Data monetization.</mixed-citation><mixed-citation xml:lang="en">SoLoMo analytics for telco Big Data monetization.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">H. 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