Forecasting international migrants using grey model with heat label

Pu, Tongzheng; Huang, Ming; Yang, Jingjing

doi:10.1145/3569966.3571179

Cited by 2 publications

(4 citation statements)

References 12 publications

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“…In addition to the lack of a large amount of temporal HM data, some scholars use the grey model to take a portion of HM information as the research object [12,13]. A grey model is established by extracting sufficient information from known data to achieve an accurate description and grasp of HM development trends.…”

Section: Expert Prediction Modelmentioning

confidence: 99%

“…With the development of information technology and statistics, many forecasting methods have emerged, using approaches based on econometrics, time series analyses, and Bayesian statistics, among others. In recent years, with the rapid development of artificial intelligence (AI) technology, with big data and machine learning (ML) as its core, some scholars have attempted to use ML technology for HMP [11][12][13][14][15][16][17][18]; however, this approach is hampered by limited HM data, varying standards, and access difficulties. In addition, the uncertainty of HM drivers, and the difficulty in quantifying them, have led to the slow development of HMP research [4].…”

Section: Introductionmentioning

confidence: 99%

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Transcending Time and Space: Survey Methods, Uncertainty, and Development in Human Migration Prediction

Huang

Yang

et al. 2023

Sustainability

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As a fundamental, holistic, and strategic issue facing human society, human migration is a key factor affecting the development of countries and cities, given the constantly changing population numbers. The fuzziness of the spatiotemporal attributes of human migration limits the pool of open-source data for human migration prediction, leading to a relative lag in human migration prediction algorithm research. This study expands the definition of human migration research, reviews the progress of research into human migration prediction, and classifies and compares human migration algorithms based on open-source data. It also explores the critical uncertainty factors restricting the development of human migration prediction. Based on the analysis, there is no “best” migration prediction model, and data are key to forecasting human migration. Social media’s popularity and its increase in data have enabled the application of artificial intelligence in population migration prediction, which has attracted the attention of researchers and government administrators. Future research will aim to incorporate uncertainty into the predictive analysis framework, and explore the characteristics of population migration behaviors and their interactions. The integration of machine-learning and traditional data-driven models will provide a breakthrough for this purpose.

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Section: Expert Prediction Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transcending Time and Space: Survey Methods, Uncertainty, and Development in Human Migration Prediction

Huang

Yang

et al. 2023

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

“…With the development of information technology and statistics, many forecasting methods have emerged, and these mainly focus on econometrics, time series, Bayesian statistics, etc. In recent years, with the rapid development of artificial intelligence (AI) technology with big data and machine learning (ML) as the core, some scholars have tried to use ML technology for HMP [67][68][69][70][71][72][73]; however, the limitations include the limited amount of HM data, different standards, and difficulties in access. In addition, the uncertainty of HM drivers and the difficulty of their quantification have led to the slow development of HMP research [4].…”

Section: Of 19mentioning

confidence: 99%

“…In addition to the lack of a large amount of temporal data on HM, some scholars use the grey model to take a portion of HM information as the research object [66,67]. A grey model is established by extracting sufficient information from known data to achieve an accurate description and grasp of HM development trends.…”

Section: Expert Prediction Modelmentioning

confidence: 99%

Transcending Time and Space: A Survey Methods, Uncertainty, and Development in Human Migration Prediction

Pu¹,

Huang²,

Yang³

et al. 2023

Preprint

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As a fundamental, overall, and strategic issue facing human society, human migration is a key factor affecting the development of countries and cities given constantly changing population numbers. The fuzziness of the spatiotemporal attributes of human migration limits the pool of open-source data for human migration prediction, leading to a relative lag in human migration prediction algorithm research. This study expands the definition of human migration research, reviews the progress of research into human migration prediction, and classifies and compares human migration algorithms based on open-source data. It also explores the critical uncertainty factors restricting the development of human migration prediction. Given the effect of human migration prediction, in combination with artificial intelligence and big data technology, the paper concludes with specific suggestions and countermeasures aimed at enhancing human migration prediction research results to serve economic and social development and national strategy.

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Forecasting international migrants using grey model with heat label

Cited by 2 publications

References 12 publications

Transcending Time and Space: Survey Methods, Uncertainty, and Development in Human Migration Prediction

Transcending Time and Space: Survey Methods, Uncertainty, and Development in Human Migration Prediction

Transcending Time and Space: A Survey Methods, Uncertainty, and Development in Human Migration Prediction

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