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BIGSEA: A Big Data analytics platform for public transportation information
2019
Future generations computer systems
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BIGSEA: A Big Data analytics platform for public transportation information. Future Generation Computer Systems. 96:243-269. https://doi. ...
EUBra-BIGSEA provides a platform for building up data analytic workflows on top of elastic cloud services without requiring skills related to either programming or cloud services. ...
for routes from the raw data of public transportation) built on top of the project platform. ...
doi:10.1016/j.future.2019.02.011
fatcat:oupvmbjdhrfjhaggcvz72zlytu
An integrated big and fast data analytics platform for smart urban transportation management
2019
IEEE Access
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This paper specifically focuses on the City Administration Dashboard, a public transport analytics application that has been developed on top of the EUBra-BIGSEA platform and used by the Municipality stakeholders ...
INDEX TERMS Big data, cloud computing, data analytics, data privacy, data quality, distributed environment, public transport management, smart city. ...
ACKNOWLEDGMENT The authors would like to thank Antonio Aloisio for his editing and proofreading work on this paper. ...
doi:10.1109/access.2019.2936941
fatcat:rxmbsdulvzgarfmdncrla3fhoi
A Survey of Data Mining Implementation in Smart City Applications
2021
Qubahan Academic Journal
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It also seeks to define criteria for the creation of big data applications for innovative city services. ...
This paper examines how big data can be used for more innovative societies. ...
Fiore [61] A public transport research platform based on the EUBra-BIGSEA platform and used by stakeholders in the City of Curitiba to deal with the urban traffic data processing and planning issues, ...
doi:10.48161/qaj.v1n2a52
fatcat:s6jvhv4oxrgfdhawprunamnzae
Emerging Technologies for Smart Cities' Transportation: Geo-Information, Data Analytics and Machine Learning Approaches
2022
ISPRS International Journal of Geo-Information
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The paper gives a comprehensive review and discussion with a focus on emerging technologies from several information and data-driven perspectives including (1) geoinformation approaches; (2) data analytics ...
The paper contains core discussions on the impacts of geo-information on SC transportation, data-driven transportation and big data technology, machine learning approaches for SC transportation, innovative ...
Informed Consent Statement: Not applicable. Data Availability Statement: Not applicable.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijgi11020085
fatcat:bjkv6cu7zbfqbl7q7ezfhai5ya
Context-aware data quality assessment for big data
2018
Future generations computer systems
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Big data changed the way in which we collect and analyze data. ...
In such a scenario, methods and techniques for the data quality assessment can support the identification of suitable data to process. ...
Acknowledgments The authors work has been partially funded by the EUBra-BIGSEA project by the European Commission under the Cooperation Programme (MCTI/RNP 3rd Coordinated Call), Horizon 2020 grant agreement ...
doi:10.1016/j.future.2018.07.014
fatcat:cfxxwryiwnhtngcnsptze5tevu
A Parallel-based Map Matching Approach over Urban Place Records
2019
Anais do Simpósio Brasileiro de Banco de Dados (SBBD)
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For spatial Big Data, the map matching task is confronted with challenges related to volume and veracity of the data. In this sense, we propose a Spark-based map matching approach, called MATCH-UPS. ...
To this end, the map matching task, i.e., the task of identifying correspondent features between two geospatial data sources, should be applied. ...
This project aims to develop a cloud platform for data management and exploitation. ...
doi:10.5753/sbbd.2019.8813
dblp:conf/sbbd/AraujoPMQSN19
fatcat:ly2aresfmbdunplph3las3ceim