Big data stream analysis: a systematic literature review

T Kolajo, O Daramola, A Adebiyi - Journal of Big Data, 2019 - Springer
Recently, big data streams have become ubiquitous due to the fact that a number of
applications generate a huge amount of data at a great velocity. This made it difficult for …

Data stream analysis: Foundations, major tasks and tools

M Bahri, A Bifet, J Gama, HM Gomes… - … Reviews: Data Mining …, 2021 - Wiley Online Library
The significant growth of interconnected Internet‐of‐Things (IoT) devices, the use of social
networks, along with the evolution of technology in different domains, lead to a rise in the …

Time series big data: a survey on data stream frameworks, analysis and algorithms

A Almeida, S Brás, S Sargento, FC Pinto - Journal of Big Data, 2023 - Springer
Big data has a substantial role nowadays, and its importance has significantly increased
over the last decade. Big data's biggest advantages are providing knowledge, supporting …

Anomalies detection using isolation in concept-drifting data streams

MU Togbe, Y Chabchoub, A Boly, M Barry, R Chiky… - Computers, 2021 - mdpi.com
Detecting anomalies in streaming data is an important issue for many application domains,
such as cybersecurity, natural disasters, or bank frauds. Different approaches have been …

A comparative analysis of big data frameworks: An adoption perspective

M Khalid, MM Yousaf - Applied Sciences, 2021 - mdpi.com
The emergence of social media, the worldwide web, electronic transactions, and next-
generation sequencing not only opens new horizons of opportunities but also leads to the …

Review of big data and processing frameworks for disaster response applications

SP Cumbane, G Gidófalvi - ISPRS International Journal of Geo …, 2019 - mdpi.com
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 …

A hybrid support vector machine algorithm for big data heterogeneity using machine learning

SU Ahsaan, H Kaur, AK Mourya, S Naaz - Symmetry, 2022 - mdpi.com
Big data technology has gained attention in all fields, particularly with regard to research
and financial institutions. This technology has changed the world tremendously …

A comprehensive study and review of tuning the performance on database scalability in big data analytics

MR Sundarakumar, G Mahadevan… - Journal of Intelligent …, 2023 - content.iospress.com
In the modern era, digital data processing with a huge volume of data from the repository is
challenging due to various data formats and the extraction techniques available. The …

A distributed stream processing middleware framework for real-time analysis of heterogeneous data on big data platform: Case of environmental monitoring

A Akanbi, M Masinde - Sensors, 2020 - mdpi.com
In recent years, the application and wide adoption of Internet of Things (IoT)-based
technologies have increased the proliferation of monitoring systems, which has …

[PDF][PDF] Big data streaming platforms: A review

H Kumar, MA Ismail - Iraqi Journal for Computer Science and Mathematics, 2022 - iasj.net
Yesterday's “Big Data” is today's “data.” As technology advances, new difficulties and new
solutions emerge. In recent years, as a result of the development of Internet of Things (IoT) …