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Panagiotis Moutafis, George Mavrommatis, Michael Vassilakopoulos and Antonio Corral
Aiming at the problem of spatial query processing in distributed computing systems, the design and implementation of new distributed spatial query algorithms is a current challenge. Apache Spark is a memory-based framework suitable for real-time and batc...
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Dauren Ayazbayev, Andrey Bogdanchikov, Kamila Orynbekova and Iraklis Varlamis
This work focuses on determining semantically close words and using semantic similarity in general in order to improve performance in information retrieval tasks. The semantic similarity of words is an important task with many applications from informati...
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P.A Golovnyak,K.S. Zaytsev,A.M. Pinchuk
Pág. 94 - 101
Today there is a significant increase in the number of payments made using plastic cards. Banking organizations are forced to analyze huge amounts of data in their work, and therefore software products for processing big data are being put into operation...
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P.A Golovnyak,K.S. Zaytsev,A.M. Pinchuk
Pág. 94 - 101
Today there is a significant increase in the number of payments made using plastic cards. Banking organizations are forced to analyze huge amounts of data in their work, and therefore software products for processing big data are being put into operation...
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Nasim Ahmed, Andre L. C. Barczak, Mohammad A. Rashid and Teo Susnjak
Big data frameworks play a vital role in storing, processing, and analysing large datasets. Apache Spark has been established as one of the most popular big data engines for its efficiency and reliability. However, one of the significant problems of the ...
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Nikitha Johnsirani Venkatesan, Dong Ryeol Shin and Choon Sung Nam
In the pharmaceutical field, early detection of lung nodules is indispensable for increasing patient survival. We can enhance the quality of the medical images by intensifying the radiation dose. High radiation dose provokes cancer, which forces experts ...
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Athanasios Alexopoulos, Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas and Gerasimos Vonitsanos
At the dawn of the 10V or big data data era, there are a considerable number of sources such as smart phones, IoT devices, social media, smart city sensors, as well as the health care system, all of which constitute but a small portion of the data lakes ...
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Katie Jin and Sikha Bagui
Obstructive sleep apnea (OSA), a common form of sleep apnea generally caused by a collapse of the upper respiratory airway, is associated with one of the leading causes of death in adults: hypertension, cardiovascular and cerebrovascular disease. In this...
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Kang-Ren Leow, Meng-Chew Leow and Lee-Yeng Ong
The Online Roadshow, a new type of web application, is a digital marketing approach that aims to maximize contactless business engagement. It leverages web computing to conduct interactive game sessions via the internet. As a result, massive amounts of p...
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Jamil Al-Sawwa and Mohammad Almseidin
With the rapid development of internet technology, the amount of collected or generated data has increased exponentially. The sheer volume, complexity, and unbalanced nature of this data pose a challenge to the scientific community to extract meaningful ...
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Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia and Paolo Trunfio
Workflows are largely used to orchestrate complex sets of operations required to handle and process huge amounts of data. Parallel processing is often vital to reduce execution time when complex data-intensive workflows must be run efficiently, and at th...
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Md Anwarul Islam, Md Azher Uddin and Young-Koo Lee
This work can be applied for automatic video annotation.
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Piotr Jedrzejowicz and Izabela Wierzbowska
One of the possible approaches to solving difficult optimization problems is applying population-based metaheuristics. Among such metaheuristics, there is a special class where searching for the best solution is based on the collective behavior of decent...
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Mounir Hafsa and Farah Jemili
Cybersecurity ventures expect that cyber-attack damage costs will rise to $11.5 billion in 2019 and that a business will fall victim to a cyber-attack every 14 seconds. Notice here that the time frame for such an event is seconds. With petabytes of data ...
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Soufiane Maguerra, Azedine Boulmakoul, Lamia Karim and Hassan Badir
The proliferation of indoor and outdoor tracking devices has led to a vast amount of spatial data. Each object can be described by several trajectories that, once analysed, can yield to significant knowledge. In particular, pattern analysis by clustering...
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Johannes Kroß and Helmut Krcmar
Evaluating and predicting the performance of big data applications are required to efficiently size capacities and manage operations. Gaining profound insights into the system architecture, dependencies of components, resource demands, and configurations...
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Andreas Kanavos, Stavros Anastasios Iakovou, Spyros Sioutas and Vassilis Tampakas
In this manuscript, we present a prediction model based on the behaviour of each customer using data mining techniques. The proposed model utilizes a supermarket database and an additional database from Amazon, both containing information about customers...
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Andreas Kanavos, Stavros Anastasios Iakovou, Spyros Sioutas and Vassilis Tampakas
In this manuscript, we present a prediction model based on the behaviour of each customer using data mining techniques. The proposed model utilizes a supermarket database and an additional database from Amazon, both containing information about customers...
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V.A. Belov,E.V. Nikulchev
Pág. 95 - 102
One of the most important tasks of a modern big data processing platform is the task of choosing data storage formats. The choice of formats is based on various performance criteria, which depend on the class of objects and the requirements. One of the m...
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