Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings

2018 ◽  
Vol 82 ◽  
pp. 349-357 ◽  
Author(s):  
Andreas P. Plageras ◽  
Kostas E. Psannis ◽  
Christos Stergiou ◽  
Haoxiang Wang ◽  
B.B. Gupta
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Smart Buildings

scholarly journals Thinking about police data: Analysts’ perceptions of data quality in Canadian policing

2021 ◽  
pp. 0032258X2110214
Author(s):  
Christopher D O’Connor ◽  
John Ng ◽  
Dallas Hill ◽  
Tyler Frederick
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Data Quality ◽  
Research Culture ◽  
Police Services ◽  
Police Data ◽  
Data Collection And Analysis ◽  
Quality Issues

Policing is increasingly being shaped by data collection and analysis. However, we still know little about the quality of the data police services acquire and utilize. Drawing on a survey of analysts from across Canada, this article examines several data collection, analysis, and quality issues. We argue that as we move towards an era of big data policing it is imperative that police services pay more attention to the quality of the data they collect. We conclude by discussing the implications of ignoring data quality issues and the need to develop a more robust research culture in policing.

scholarly journals Quantity, Quality, and Accessibility: Big Data Collection, Analysis, and Synthesis in Environmental Science and Technology

2021 ◽  
Vol 8 (4) ◽  
pp. 287-288
Author(s):  
Bryan W. Brooks ◽  
William A. Arnold ◽  
Alexandria B. Boehm ◽  
Jonathan W. Martin ◽  
James R. Mihelcic ◽  
...  
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Environmental Science ◽  
Science And Technology ◽  
Analysis And Synthesis

scholarly journals The effectiveness of cartographic visualisations in landscape archaeology

2018 ◽  
Vol 1 ◽  
pp. 1-5
Author(s):  
David Fairbairn
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Case Studies ◽  
Landscape Archaeology ◽  
Archaeological Prospection ◽  
Archaeological Interpretation

The use of maps and other geovisualisation methods has been longstanding in archaeology. Archaeologists employ advanced contemporary tools in their data collection, analysis and presentation. Maps can be used to render the ‘big data’ commonly collected by archaeological prospection techniques, but are also fundamental output instru-ments for the dissemination of archaeological interpretation and modelling. This paper addresses, through case studies, alternate methods of geovisualisation in archaeology and identifies the efficiencies of each.

scholarly journals Determining the proximity of groups in social networks based on text analysis using big data

2019 ◽  
pp. 521-526
Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Data Collection ◽  
Text Analysis ◽  
Software Tool ◽  
Text Data ◽  
The Social ◽  
Information Research ◽  
Definition Of

The article is devoted to the definition of such groups in social networks. The object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. The existing algorithms of text analysis, mainly of large volume, were investigated and applied.

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