Evaluating socioeconomic factors for crime against women in developing countries : a data-centric statistical learning approach
Esther Jose, Sayanti Mukherjee, Jose Swaminathan
| Year of publication: |
2025
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| Authors: | Jose, Esther ; Mukherjee, Sayanti ; Swaminathan, Jose |
| Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier Science, ISSN 0038-0121, ZDB-ID 1491145-0. - Vol. 101.2025, Art.-No. 102255, p. 1-25
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| Subject: | Crime against women | Crime rate under-reporting | Gender-based violence | Machine learning | Risk analysis | Kriminalität | Crime | Frauen | Women | Gewalt | Violence | Entwicklungsländer | Developing countries | Künstliche Intelligenz | Artificial intelligence | Weibliche Arbeitskräfte | Women workers | Geschlechterdiskriminierung | Gender discrimination |
| Type of publication: | Article |
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| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.seps.2025.102255 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015448659