PV forecasting using support vector machine learning in a big data analytics context
Renewable energy systems (RES) are reliable by nature; the sun and wind are theoretically
endless resources. From the beginnings of the power systems, the concern was to know …
endless resources. From the beginnings of the power systems, the concern was to know …
Real-time data analysis using Spark and Hadoop
K Aziz, D Zaidouni, M Bellafkih - 2018 4th international …, 2018 - ieeexplore.ieee.org
Big Data is at use every single day, from the adoption of Internet through social networks,
mobile devices, connected objects, videos, blogs and others. Big Data real-time processing …
mobile devices, connected objects, videos, blogs and others. Big Data real-time processing …
Mind: A multi-source data fusion scheme for intrusion detection in networks
In recent years, there is an exponential explosion of data generation, collection, and
processing in computer networks. With this expansion of data, network attacks have also …
processing in computer networks. With this expansion of data, network attacks have also …
Cloud computing-based parallel genetic algorithm for gene selection in cancer classification
Cancer classification is one of the main steps during patient healing process. This fact
enforces modern clinical researchers to use advanced bioinformatics methods for cancer …
enforces modern clinical researchers to use advanced bioinformatics methods for cancer …
Model for creating an adaptive individual learning path for training digital transformation professionals and big data engineers using Virtual Computer Lab
S Grishko, M Belov, E Cheremisina… - Creativity in Intelligent …, 2021 - Springer
The paper formulates key aspects of a strategy for training highly qualified and in-demand IT
professionals in the fields of advanced analytics and Big Data processing for solving the …
professionals in the fields of advanced analytics and Big Data processing for solving the …
[PDF][PDF] WoDiCoF-A Testbed for the Evaluation of (Parallel) Covert Channel Detection Algorithms.
With the increasing number of steganography-capable malware and the increasing trend of
stealthy data exfiltrations, network covert channels are becoming a crucial security threat …
stealthy data exfiltrations, network covert channels are becoming a crucial security threat …
Architecture of a compact data grid cluster for teaching modern methods of data mining in the virtual computer lab
M Belov, V Korenkov, N Tokareva… - EPJ Web of …, 2020 - epj-conferences.org
This paper discusses the architecture of a compact Data GRID cluster for teaching new
methods of Big Data analytics in the Virtual Computer Lab. Its main destination is training …
methods of Big Data analytics in the Virtual Computer Lab. Its main destination is training …
Feature selection for big data based on MapReduce and voting mechanism
SF Zhang, JH Zhai, S Tian, X Zhou… - … Conference on Machine …, 2020 - ieeexplore.ieee.org
With the rapid development of computer network technology and wireless sensor
technology, as well as the arrival of the era of big data, the dimension and sample number of …
technology, as well as the arrival of the era of big data, the dimension and sample number of …
A novel approach to extract significant patterns of travel time intervals of vehicles from freeway gantry timestamp sequences
JD Wang, MC Hwang - Applied Sciences, 2017 - mdpi.com
It is attractive to extract and determine the key features of traffic patterns for mitigating road
congestion and predicting travel time of vehicles in traffic analysis. Based on the previous …
congestion and predicting travel time of vehicles in traffic analysis. Based on the previous …
Горная информатика и проблема “больших данных” в построении комплексных мониторинговых систем безопасности недропользования
ИВ Бычков, ДЯ Владимиров, ВН Опарин… - Физико-технические …, 2016 - db3.sbras.ru
rus: Обсуждается актуальная проблема и перспективные пути ее решения в горной
информатике, связанные с “большими данными”-потоками разнородной информации …
информатике, связанные с “большими данными”-потоками разнородной информации …