Antonia Gieschen
Dados Biográficos
| ID | 9502012 |
|---|---|
| NOME | Antonia Gieschen |
| PRENOMES | Antonia |
| SOBRENOME | Gieschen |
| ASSINATURA | GIESCHEN A |
| AFILIAÇÕES | University of Edinburgh |
| ORCID | 0000-0002-8236-9893 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Scadda
Spatiotemporal clustering occupies an established role in various fields dealing with geospatial analysis, spanning from healthcare analysis to environmental science. One major challenge is application in which cluster assignments are dependent on local densities, meaning that higher‐density areas should be treated more strictly for spatial clustering and vice versa. We describe and implement an extended method that covers continuous and adaptive…
Quantitative and Spatially Explicit Clustering of Urban Grocery Shoppers in Montreal
This study integrates customer loyalty program data with a synthetic population to analyze grocery shopping behaviours in Montreal. Using clustering algorithms, we classify 295,631 loyalty program members into seven distinct consumer segments based on behavioural and sociodemographic attributes. The findings reveal significant heterogeneity in consumer behaviour, emphasizing the impact of urban geography on shopping decisions. This segmentation a…
Filaments of crime
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Filaments of crime
Quantitative and Spatially Explicit Clustering of Urban Grocery Shoppers in Montreal
This study integrates customer loyalty program data with a synthetic population to analyze grocery shopping behaviours in Montreal. Using clustering algorithms, we classify 295,631 loyalty program members into seven distinct consumer segments based on behavioural and sociodemographic attributes. The findings reveal significant heterogeneity in consumer behaviour, emphasizing the impact of urban geography on shopping decisions. This segmentation a…
Scadda
Spatiotemporal clustering occupies an established role in various fields dealing with geospatial analysis, spanning from healthcare analysis to environmental science. One major challenge is application in which cluster assignments are dependent on local densities, meaning that higher‐density areas should be treated more strictly for spatial clustering and vice versa. We describe and implement an extended method that covers continuous and adaptive…
Artificial Intelligence (2 obras) · Cluster analysis (2 obras) · Computer Science (2 obras) · Advanced Clustering Algorithms Research (1 obras) · Advertising (1 obras) · Anomaly Detection Techniques and Applications (1 obras) · Business (1 obras) · Cluster (spacecraft) (1 obras) · Consumer Retail Behavior Studies (1 obras) · Correctness (1 obras)