Отрывок: 2. Calculating the deviation metric for a particular user. You need to select topics and convert them to a key-value view. After that you need to process the data pairs and count the sum of topics with the same key; 0, 3 , 1, 3 i i i i σ σ ∆ ≤ ∆ > (8) Count the deviation...
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | A.V. Ivaschenko | - |
dc.contributor.author | N.Yu. Ilyasova | - |
dc.contributor.author | A.A. Khorina | - |
dc.contributor.author | V.A. Isayko | - |
dc.contributor.author | D.N. Krupin | - |
dc.contributor.author | V.A. Bolotsky | - |
dc.contributor.author | P.V. Sitnikov | - |
dc.date.accessioned | 2018-05-22 10:05:05 | - |
dc.date.available | 2018-05-22 10:05:05 | - |
dc.date.issued | 2018 | - |
dc.identifier | Dspace\SGAU\20180518\69652 | ru |
dc.identifier.citation | A.V. Ivaschenko. Integration Issues of Big Data Analysis on Social Networks / A.V. Ivaschenko, N.Yu. Ilyasova, A.A. Khorina, V.A. Isayko, D.N. Krupin, V.A. Bolotsky, P.V. Sitnikov // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.2546-2551. | ru |
dc.identifier.uri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Integration-Issues-of-Big-Data-Analysis-on-Social-Networks-69652 | - |
dc.description | Основная статья | ru |
dc.description.abstract | Nowadays Social Media becomes one of the major providers of Big Data for analysis of users’ behaviour, focus, trends, and deviations. One user can be presented in several social networks by various avatars. Most users have different dynamics of data processing and generation. In order to provide a solution capable to deal with this, there was developed and implemented a software library for integration with a number of social networks. This paper describes the problem, solution architecture and technical details of its implementation supported by the results of simulation and real data analysis for a number of popular social networks. | ru |
dc.description.sponsorship | This work was supported by the Federal Agency of Scientific Organizations (agreement No 007- GZ/Ch3363/26). | ru |
dc.language.iso | en_US | ru |
dc.publisher | Новая техника | ru |
dc.subject | social networks | ru |
dc.subject | big data | ru |
dc.subject | integration | ru |
dc.subject | architecture | ru |
dc.title | Integration Issues of Big Data Analysis on Social Networks | ru |
dc.type | Article | ru |
dc.textpart | 2. Calculating the deviation metric for a particular user. You need to select topics and convert them to a key-value view. After that you need to process the data pairs and count the sum of topics with the same key; 0, 3 , 1, 3 i i i i σ σ ∆ ≤ ∆ > (8) Count the deviation... | - |
Располагается в коллекциях: | Информационные технологии и нанотехнологии |
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Файл | Описание | Размер | Формат | |
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Integration Issues of Big Data Analysis on Social Networks.pdf | Основная статья | 178.51 kB | Adobe PDF | Просмотреть/Открыть |
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