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Titlebook: Urbanisation and Crime in Nigeria; Adegbola Ojo,Oluwole Ojewale Book 2019 The Editor(s) (if applicable) and The Author(s) 2019 crime in af

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31#
發(fā)表于 2025-3-27 00:25:13 | 只看該作者
978-3-030-19767-4The Editor(s) (if applicable) and The Author(s) 2019
32#
發(fā)表于 2025-3-27 02:13:13 | 只看該作者
33#
發(fā)表于 2025-3-27 06:05:57 | 只看該作者
https://doi.org/10.1007/978-3-030-19765-0crime in africa; urban geography; environmental crime; victims; urbanisation and crime; urban cities; huma
34#
發(fā)表于 2025-3-27 12:21:18 | 只看該作者
Conclusion,levant for practitioner and scholarly communities that are at the vanguard of addressing urban crime. The chapter continues by elucidating the main lessons and concludes with a raft of policy recommendations that can help make Nigerian cities more agile and responsive to the problem of urban crime.
35#
發(fā)表于 2025-3-27 17:40:07 | 只看該作者
Adegbola Ojo,Oluwole OjewaleUses Nigeria (Africa’s largest democracy) as a useful case study for understanding urban crime in developing nations.Draws on empirical data.Combines a traditional criminological approach with a crime
36#
發(fā)表于 2025-3-27 19:40:06 | 只看該作者
Book 2019wellers.?.Urbanisation and Crime in Nigeria.?offers academics, researchers, governments, civil society organisations, citizens, and international partners a tool with which to engage in a serious dialogue about crime within cities, based on evidence and good practices from inside and outside sub-Sah
37#
發(fā)表于 2025-3-28 01:25:03 | 只看該作者
Adegbola Ojo,Oluwole Ojewaleemonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students.978-1-4939-0538-6978-1-4939-0539-3Series ISSN 2191-8112 Series E-ISSN 2191-8120
38#
發(fā)表于 2025-3-28 04:13:21 | 只看該作者
Adegbola Ojo,Oluwole Ojewale for modeling preference data. We focus our attention on methods based on latent factors, such as mixture models, probabilistic matrix factorization, and topic models, for explicit and implicit preference data. These methods represent a significant advance in the research and technology of recommend
39#
發(fā)表于 2025-3-28 07:58:01 | 只看該作者
40#
發(fā)表于 2025-3-28 14:05:21 | 只看該作者
tion..Useful not only as a reference source for researchers, but also in teaching classes of graduate courses in Production Engineering and Management Science, the key themes of the book will be of especial interest to researchers in the field of Operational Research..978-3-319-38167-1978-3-319-11277-0Series ISSN 1619-5736 Series E-ISSN 2197-6589
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