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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

A Machine Learning and Multi-Agent Model to Automate Big Data Analytics in Smart Cities

Author 1: Fouad SASSITE
Author 2: Malika ADDOU
Author 3: Fatimazahra BARRAMOU

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130754

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 7, 2022.

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Abstract: The objective of this paper is to present an architecture to improve the process of automating big data analytics using a multi-agent system and machine learning techniques, to support the processing of real time big data streams and to enhance the process of decision-making for urban planning and management. With the rapidly evolving information technologies, and their utilization in many areas such as smart cities, social networks, urban management and planning, massive data streams are generated and need an efficient approach to deal with. The proposition in this paper adopts the concept of smart data which focuses on the value aspect from big data. The proposed architecture is composed of three layers: data acquisition and storage, data management and processing and the service layer, based on a multi-agent system to automate the big data analytics; the proposed model describe the functionalities of the system and the collaboration between agents, these autonomous entities receive data streams in real time, they perform operations of preprocessing, big data analytics and storage into a Hadoop cluster. The techniques of machine learning are also used to enhance the process of decision making, such the use of classification algorithms to predict habitat type based on the characteristics of a population to help making efficient urban planning decisions. The proposed system can serve as a platform to support data management and to conduct effective decision-making in smart cities.

Keywords: Big data analytics; machine learning; smart data; multi-agent system; automation; decision-making; urban planning

Fouad SASSITE, Malika ADDOU and Fatimazahra BARRAMOU, “A Machine Learning and Multi-Agent Model to Automate Big Data Analytics in Smart Cities” International Journal of Advanced Computer Science and Applications(IJACSA), 13(7), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130754

@article{SASSITE2022,
title = {A Machine Learning and Multi-Agent Model to Automate Big Data Analytics in Smart Cities},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130754},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130754},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {7},
author = {Fouad SASSITE and Malika ADDOU and Fatimazahra BARRAMOU}
}


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