Methods of Data Collection, Aggregation, and Dissemination and Their Application

Aurelija Burinskienė ()
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Aurelija Burinskienė: Vilnius Gediminas Technical University

Chapter Chapter 11 in Development of Smart Context-Aware Services for Cargo Transportation, 2022, pp 249-269 from Springer

Abstract: Abstract The flows of data and methods for their revision are different and depend on the needs of the transport business. Various parameters are communicated and regularly transmitted during cargo delivery. The set of data is compiled for each point in time and includes all the information and review of big data for making decisions about the transportation of goods. The author divided the description into two parts. The beginning of the chapter is devoted to the collection of data from various sources, and the second part is devoted to the revision of data sets. Finally, the chapter ends with issues of trust and confidentiality in cases of data analysis.

Keywords: Data collection; Data analysis; Grubb test; Big data; Operational data revision; Conflicts resolution; Decision hierarchy; Trust and privacy data review (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-07199-7_11

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DOI: 10.1007/978-3-031-07199-7_11

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