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Silvino Pedro Cumbane and Gyozo Gidófalvi
Natural hazards result in devastating losses in human life, environmental assets and personal, and regional and national economies. The availability of different big data such as satellite imageries, Global Positioning System (GPS) traces, mobile Call De...
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Thanda Shwe and Masayoshi Aritsugi
Intelligent applications in several areas increasingly rely on big data solutions to improve their efficiency, but the processing and management of big data incur high costs. Although cloud-computing-based big data management and processing offer a promi...
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Mohammed Alsuhaibani, Rehan Ullah Khan, Ali Mustafa Qamar and Suliman A. Alsuhibany
Bloom filters are a type of data structure that is used to test whether or not an element is a member of a set. They are known for being space-efficient and are commonly employed in various applications, such as network routers, web browsers, and databas...
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Nirmalya Thakur, Yuvraj Nihal Duggal and Zihui Liu
In the last decade and a half, the world has experienced outbreaks of a range of viruses such as COVID-19, H1N1, flu, Ebola, Zika virus, Middle East Respiratory Syndrome (MERS), measles, and West Nile virus, just to name a few. During these virus outbrea...
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Panagiotis Karamolegkos, Argyro Mavrogiorgou, Athanasios Kiourtis and Dimosthenis Kyriazis
Big Data is a phenomenon that affects today?s world, with new data being generated every second. Today?s enterprises face major challenges from the increasingly diverse data, as well as from indexing, searching, and analyzing such enormous amounts of dat...
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Kun Xiang and Akihiro Fujii
Climate change (CC) has become a central global topic within the multiple branches of social disciplines. Natural Language Processing (NLP) plays a superior role since it has achieved marvelous accomplishments in various application scenarios. However, C...
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Mattia D?Emidio
Computing shortest-path distances is a fundamental primitive in the context of graph data mining, since this kind of information is essential in a broad range of prominent applications, which include social network analysis, data routing, web search opti...
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Sofia Fernandes, Mário Antunes, Ana Rita Santiago, João Paulo Barraca, Diogo Gomes and Rui L. Aguiar
Heating appliances consume approximately 48%" role="presentation">48%48%
48
%
of the energy spent on household appliances every year. Furthermore, a malfunctioning device can increase the cost even further. Thus, there is a need to create methods that c...
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Junqiang Zhang, Lirui Xu, Yi Zhang, Gang Liu, Lingjun Zhao and Yuzhu Wang
With the rapid development of information processing technology and continuously evolving technological hardware and software, the scale of spatial data has grown exponentially. This has necessitated that stricter requirements be placed on the way data i...
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Guiming Zhang and Jin Xu
Kernel density estimation (KDE) is a commonly used method for spatial point pattern analysis, but it is computationally demanding when analyzing large datasets. GPU-based parallel computing has been adopted to address such computational challenges. The e...
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Anne M. Tall and Cliff C. Zou
Controlling access to a large set of medical and social media data processed in a cloud environment using open-source Hadoop storage and Spark parallel processing.
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Johannes Rank, Jonas Herget, Andreas Hein and Helmut Krcmar
Big Data and primarily distributed stream processing systems (DSPSs) are growing in complexity and scale. As a result, effective performance management to ensure that these systems meet the required service level objectives (SLOs) is becoming increasingl...
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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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Andry Alamsyah and Nadhif Ditertian Girawan
The disposability of clothing has emerged as a critical concern, precipitating waste accumulation due to product quality degradation. Such consequences exert significant pressure on resources and challenge sustainability efforts. In response, this resear...
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Rakib Hossen, Md Whaiduzzaman, Mohammed Nasir Uddin, Md. Jahidul Islam, Nuruzzaman Faruqui, Alistair Barros, Mehdi Sookhak and Md. Julkar Nayeen Mahi
The Internet of Things (IoT) has seen a surge in mobile devices with the market and technical expansion. IoT networks provide end-to-end connectivity while keeping minimal latency. To reduce delays, efficient data delivery schemes are required for disper...
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Otmane Azeroual and Renaud Fabre
Big data have become a global strategic issue, as increasingly large amounts of unstructured data challenge the IT infrastructure of global organizations and threaten their capacity for strategic forecasting. As experienced in former massive information ...
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Petros Zervoudakis, Haridimos Kondylakis, Nicolas Spyratos and Dimitris Plexousakis
HIFUN is a high-level query language for expressing analytic queries of big datasets, offering a clear separation between the conceptual layer, where analytic queries are defined independently of the nature and location of data, and the physical layer, w...
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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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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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Jin-young Choi, Minkyoung Cho and Jik-Soo Kim
Recently, ?Big Data? platform technologies have become crucial for distributed processing of diverse unstructured or semi-structured data as the amount of data generated increases rapidly. In order to effectively manage these Big Data, Cloud Computing ha...
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