Using Semantic Modeling to Improve the Processing Efficiency of Big Data in the Internet of Things Domain
The purpose of the article is to use deep machine learning, based on convolutional neural networks because this model of machine learning corresponds to processing of unstructured and complex nature of the IoT domain. Results. Proposed approach increases the efficiency of IoT Big Data processing and...
Saved in:
| Published in: | Кибернетика и вычислительная техника |
|---|---|
| Date: | 2019 |
| Main Authors: | Gladun, A.Ya., Rogushina, Yu.V., Andrushevich, A.A. |
| Format: | Article |
| Language: | English |
| Published: |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН України та МОН України
2019
|
| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/161747 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Using Semantic Modeling to Improve the Processing Efficiency of Big Data in the Internet of Things Domain / A.Ya. Gladun, Yu.V. Rogushina, A.A. Andrushevich // Cybernetics and computer engineering. — 2019. — № 2 (196). — С. 27-42. — Бібліогр.: 28 назв. — англ. |
Institution
Digital Library of Periodicals of National Academy of Sciences of UkraineSimilar Items
-
Using Semantic Modeling to Improve the Processing Efficiency of Big Data in the Internet of Things Domain
by: Ya. Gladun, et al.
Published: (2019) -
Online Medical Data Stream Mining Based on Adaptive Neuro-Fuzzy Approaches
by: Perova, I.G., et al.
Published: (2019) -
The Use of Complexity and Variability Characteristics for the Analysis of Complex Dynamic Systems
by: Biloshytska, O.K., et al.
Published: (2020) -
Critical Properties of Modern Geographic Information Systems for Territorial Management
by: Chabaniuk, V.S., et al.
Published: (2020) -
Construction of a Computer Technology for Information Support of Decisions in the Foundry Production Proces
by: Tokova, O.V., et al.
Published: (2019)