Titlebook: Handbook on Crime and Deviance; Marvin D. Krohn,Alan J.‘Lizotte,Gina Penly Hall Book 20091st edition Springer Science+Business Media, LLC

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书目名称Handbook on Crime and Deviance影响因子(影响力)




书目名称Handbook on Crime and Deviance影响因子(影响力)学科排名




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书目名称Handbook on Crime and Deviance网络公开度学科排名




书目名称Handbook on Crime and Deviance被引频次




书目名称Handbook on Crime and Deviance被引频次学科排名




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书目名称Handbook on Crime and Deviance年度引用学科排名




书目名称Handbook on Crime and Deviance读者反馈




书目名称Handbook on Crime and Deviance读者反馈学科排名

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or compared the accuracy of the Machine Learning Techniques in many of the proposed approaches. The result shows that KNN has 92% accuracy as compared to RF, XGB and DT. Here the proposed approach is available at that frame for Diabetic Prediction and Diet using Machine Learning Techniques with tenf

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ts. According to literature, a variety of recommendation systems have been developed in various cancer studies, including disease prediction based on text and image data, food and medicine recommendations, and so on. The only difficulty with such systems is that they are very specific and take only

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Alan J. Lizotte,David McDowall,Nicole M. Schmidtss innovation..This book explores the potential benefits of AI for modern enterprises,including how it can be used to enhance customer service, optimize supply chain management, and improve decision-making in a range of business contexts. It also examines the role of AI in product development, marke

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Daniel S. Naginant insights, and encourage educated decision-making is shown via the use of practical examples and real-life situations. The conversation focuses on the ethical issues, problems, and prospective applications in the field of communications that are associated with cryptocurrencies. The purpose of th

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h. Additionally, the book provides best practices for retaining customers in FinTech, including how to use AI to create personalized experiences that keep customers coming back, and explores the different applications of predictive models in FinTech, including how they are used to improve risk manag

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Anthony Walsh,Kevin M. Beaverimprove fraud detection systems by using its capacity to grasp and contextualize textual material, particularly in the context of recognizing examples of financial forgeries. In these particular domains, the usefulness of ChatGPT is shown via the use of practical examples and case studies from the a

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