Home|Journals|Articles by Year Follow on Twitter

Directory for Medical Articles

Open Access

Research Article

JCR. 2020; 7(9): 1382-1386

Involvement of Big Data Analytics in Smart Cities

Ali Imam Abidi, Sudeshna Chakraborty, Sunil Kumar.

The development of smart cities targets relieving the challenges raised because of the constant
urbanization advancement and expanding populace thickness in cities. To confront these difficulties, governments
and leaders attempt smart city ventures focusing on supportable economic development and well quality of the
life for the two occupants and guests. ICT which is an Information and Communication Technology is a key
empowering innovation for city smartening. In any case, to extricate important experiences for creating city level
smart data benefits, the produced datasets from different city areas should be incorporated and investigated. This
procedure for the most part alluded to as the big data analytics or the big data esteem chain. Studying the writing
uncovers an expanding enthusiasm for outfitting applications of big data analytics all in all and in the smart cities
area specifically. However, far reaching discourses on the basic attributes of the framework of big data analytics
fitting the smart cities prerequisites are as yet required. This paper displays a novel analytics of big data for the
smart cities known as SCDAP ("Smart City Data Analytics Panel"). The structure of SCDAP depends on replying
the accompanying examination queries. In responding to these inquiries, it embraced a methodical writing survey
on analytics framework of big data in the smart cities. A proposed structure acquaints new functionalities to
analytics framework of big data depicted in information model management and total. The estimation of the
proposed structure is talked about in contrast with approaches of traditional information discovery.

Key words: Analytics Framework, Big Data, ICT, Smart Cities, traditional information discovery.

Similar Articles

Visual naked-eye detection of SARS-CoV-2 RNA based on covalent organic framework capsules.
Wang M, Lin Y, Lu J, Sun Z, Deng Y, Wang L, Yi Y, Li J, Yang J, Li G
Chemical engineering journal (Lausanne, Switzerland : 1996). 2022; 429(): 132332

Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data.
Hu R, Gan J, Zhu X, Liu T, Shi X
Information processing & management. 2022; 59(1): 102782

Health technology assessment and economic evaluation: Is it applicable for the traditional medicine?
Chen Y
Integrative medicine research. 2022; 11(1): 100756

Chemometric analysis of the global pattern of volatile organic compounds in the exhaled breath of patients with COVID-19, post-COVID and healthy subjects. Proof of concept for post-COVID assessment.
Zamora-Mendoza BN, Díaz de León-Martínez L, Rodríguez-Aguilar M, Mizaikoff B, Flores-Ramírez R
Talanta. 2022; 236(): 122832

Aptamer-binding zirconium-based metal-organic framework composites prepared by two conjunction approaches with enhanced bio-sensing for detecting isocarbophos.
Wang N, Liu Z, Wen L, Zhang B, Tao CA, Wang J
Talanta. 2022; 236(): 122822

Full-text options

Latest Statistics about COVID-19
• pubstat.org

Add your Article(s) to Indexes
• citeindex.org

Covid-19 Trends and Statistics
Follow ScopeMed on Twitter
Author Tools
eJPort Journal Hosting
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
ScopeMed is a Database Service for Scientific Publications. Copyright ScopeMed Information Services.

ScopeMed Web Sites