The Data Stream Principles, Tools and Applications: A Review

In recent years, there has been a vast and massive development in device technology and new emerging technologies. Through them, there are new ways to collect data continuously and remarkably, such as: sensor networks, mobile devices, satellites, telecommunications, health care sectors, communicatio...

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Bibliographic Details
Published in:	2022 8th International Conference on Contemporary Information Technology and Mathematics (ICCITM) pp. 53 - 58
Main Authors:	Sheet, Munther Younis, Alazeez, Ammar Thaher Yaseen Taha Al Abd
Format:	Conference Proceeding
Language:	English
Published:	IEEE 31-08-2022
Subjects:	Concept Drift Data Stream Decision making Internet of Things Mathematics Medical services Mobile handsets Organizations Real-time systems Satellite broadcasting
Online Access:	Get full text
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Summary:	In recent years, there has been a vast and massive development in device technology and new emerging technologies. Through them, there are new ways to collect data continuously and remarkably, such as: sensor networks, mobile devices, satellites, telecommunications, health care sectors, communication organizations, etc. This kind of data is called a data stream. A data stream is a series of elements and data that come from many different sources. Here, the need arises for quick data stream processing systems that process data in the shortest amount of time. The research aims to study the following algorithms and techniques, the challenges of the broadcast data, and the tools used to process this stream according to real-time requirements. The contributions of this study are to understand data streams, online processing and execution, concept drift detection, and the selection of the best tools for decision-making.
DOI:	10.1109/ICCITM56309.2022.10031765