research-article

Towards a big data analytics framework for smart cities

Authors:

Hicham Abbad,

Radi BouchaibAuthors Info & Claims

SCAMS '17: Proceedings of the Mediterranean Symposium on Smart City Application

Article No.: 17, Pages 1 - 5

https://doi.org/10.1145/3175628.3175647

Published: 25 October 2017 Publication History

Get Access

Abstract

Due to the emergence of the Internet of Things, social network and the mobile applications, the data produced is very important and diversified. These data are very useful to design a smart city based on machine learning and statistical algorithms used by real time analytics or predictive analytics. This paper presents a framework headlines that helps cities to take profit from data to improve the life quality of citizens in several areas: mobility and transportation, economy, environment and energy, public safety, health, education and others.

This framework describe different data sources (IoT, software applications, sensors,.) used to generate the information. It also describes, the processing steps that make data usable, the different machine learning statistical algorithms and data mining techniques used to extract the insights. This framework, combine two complementary approaches: Techno-centric approach based on a city populated by sensors that collect a massive data to drive all the urban services, and the collaborative approach that addresses citizens more directly.

References

[1]

United Nations, Department of Economic and Social Affairs, Population Division.

Google Scholar

[2]

R.K.R. Kummitha, N. Crutzen Cities 67 (2017) 43--52. How do we understand smart cities? An evolutionary perspective.

Crossref

Google Scholar

[3]

I.A.T. Hashem et al. The role of big data in smart city/International Journal of Information Manaeement 36 (2016) 748--758.

Digital Library

Google Scholar

[4]

I.A.T. R.S. Sinha, Y. Wei, S.-H. Hwang, A survey on LPWA technology: LoRa and NB-IoT, ICT Express (2017)

Google Scholar

[5]

Alejandro Corbellini, Cristian Mateos, Alejandro Zunino, Daniela Godoy, Q1 Silvia Schiaffino/Information Systems. Persisting big-data: The NoSQL landscape.

Google Scholar

[6]

Big Data and machine learning, the concepts and tools of data science, Dunod 2016.

Google Scholar

Cited By

View all

Verma HPrabhu S(2023)Implementation Of IoT and Applications in Smart City in Achieving the Smart Environment2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)10.1109/ICAISS58487.2023.10250618(1557-1563)Online publication date: 23-Aug-2023
https://doi.org/10.1109/ICAISS58487.2023.10250618
Jahan THasan SNafisa NChowdhury AUddin RArefin M(2022)Big Data for Smart Cities and Smart Villages: A ReviewIntelligent Computing & Optimization10.1007/978-3-030-93247-3_42(427-439)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-93247-3_42

Recommendations

A novel big data analytics framework for smart cities
Abstract
The emergence of smart cities aims at mitigating the challenges raised due to the continuous urbanization development and increasing population density in cities. To face these challenges, governments and decision makers undertake ...
Big data analytics in Cloud computing: an overview
Abstract
Big Data and Cloud Computing as two mainstream technologies, are at the center of concern in the IT field. Every day a huge amount of data is produced from different sources. This data is so big in size that traditional processing tools are unable ...
The role of big data analytics in Internet of Things

The explosive growth in the number of devices connected to the Internet of Things (IoT) and the exponential increase in data consumption only reflect how the growth of big data perfectly overlaps with that of IoT. The management of big data in a ...

Comments

Information & Contributors

Information

Published In

SCAMS '17: Proceedings of the Mediterranean Symposium on Smart City Application

October 2017

170 pages

ISBN:9781450352116

DOI:10.1145/3175628

Editors:
Ben Ahmed Mohamed
UAE University, FST of Tangier, Morocco
,
Boudhir Anouar Abdelhakim
UAE University, FST of Tangier, Morocco

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

SCAMS'17

SCAMS'17: Mediterranean Symposium in Smart City Application

October 25 - 27, 2017

Tangier, Morocco

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
316
Total Downloads

Downloads (Last 12 months)8
Downloads (Last 6 weeks)0

Reflects downloads up to 12 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Verma HPrabhu S(2023)Implementation Of IoT and Applications in Smart City in Achieving the Smart Environment2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)10.1109/ICAISS58487.2023.10250618(1557-1563)Online publication date: 23-Aug-2023
https://doi.org/10.1109/ICAISS58487.2023.10250618
Jahan THasan SNafisa NChowdhury AUddin RArefin M(2022)Big Data for Smart Cities and Smart Villages: A ReviewIntelligent Computing & Optimization10.1007/978-3-030-93247-3_42(427-439)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-93247-3_42

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Recommendations

A novel big data analytics framework for smart cities

Big data analytics in Cloud computing: an overview

The role of big data analytics in Internet of Things