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 …

[HTML][HTML] 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 …

Big data analytics in association rule mining: A systematic literature review

M Shahin, S Arakkal Peious, R Sharma… - Proceedings of the …, 2021 - dl.acm.org
Due to the rapid impact of IT technology, data across the globe is growing exponentially as
compared to the last decade. Therefore, the efficient analysis and application of big data …

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 …

[HTML][HTML] 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 …

A comparative study of big data use in Egyptian agriculture

SA Sayed, AS Mahmoud, E Farg, AM Mohamed… - Journal of Electrical …, 2023 - Springer
The Egyptian economy relies heavily on the agricultural sector. As the population grows,
arable land will diminish in the next decades. This makes food supply a priority. Big data …