Mining the Impacts of COVID-19 Pandemic on the Labour Market
16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-1788739
ABSTRACT
Under the influence of the pandemic environment, many people may have lost their jobs or on the verge of being laid off, while there are many new job seekers. Hence, the status of new jobs under the pandemic and how various industries are affected by the pandemic-including predicting future work trends-have become the focus of attention. In this paper, we present a social informatics solution to mine the impacts of COVID-19 pandemic on the labour market. We make good use of data mining (especially, frequent pattern mining), statistical analysis, and prediction. Evaluation of real-life Canadian labour market data demonstrates the practicality of our tool. Although we illustrate our ideas with the Canadian labour market, our solution can be adaptable to mine labour markets in other geographical locations. © 2022 IEEE.
big data; big data application; coronavirus disease; COVID-19; data mining; data science; information management; social analytics; social computing; social informatics; Commerce; Employment; Big data applications; Coronaviruses; Focus of Attention; Frequent patterns minings; Job seekers; Labour market; Social analytic
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022
Year:
2022
Document Type:
Article
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