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Titlebook: Social Network Analysis in Predictive Policing; Concepts, Models and Mohammad A. Tayebi,Uwe Gl?sser Book 2016 Springer International Publis

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發(fā)表于 2025-3-21 16:35:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Social Network Analysis in Predictive Policing
副標題Concepts, Models and
編輯Mohammad A. Tayebi,Uwe Gl?sser
視頻videohttp://file.papertrans.cn/870/869752/869752.mp4
概述Presents a computational method and a thorough experimental evaluation for each problem, along with a discussion of the results.Contains formal representation and algorithmic solutions of predictive p
叢書名稱Lecture Notes in Social Networks
圖書封面Titlebook: Social Network Analysis in Predictive Policing; Concepts, Models and Mohammad A. Tayebi,Uwe Gl?sser Book 2016 Springer International Publis
描述 This book focuses on applications of social network analysis in predictivepolicing. Data science is used to identify potential criminal activity byanalyzing the relationships between offenders to fully understand criminalcollaboration patterns. Co-offending networks—networks of offenders who havecommitted crimes together—have long been recognized by law enforcement andintelligence agencies as a major factor in the design of crime prevention andintervention strategies. Despite the importance of co-offending network analysisfor public safety, computational methods for analyzing large-scale criminalnetworks are rather premature. This book extensively and systematically studiesco-offending network analysis as effective tool for predictive policing. Theformal representation of criminological concepts presented here allow computerscientists to think about algorithmic and computational solutions to problemslong discussed in the criminology literature. For each ofthe studied problems,we start with well-founded concepts and theories in criminology, then propose acomputational method and finally provide a thorough experimental evaluation,along with a discussion of the results. In this way,
出版日期Book 2016
關(guān)鍵詞criminal network analysis; predictive policing; computational criminology; co-offending network; co-offe
版次1
doihttps://doi.org/10.1007/978-3-319-41492-8
isbn_softcover978-3-319-82368-3
isbn_ebook978-3-319-41492-8Series ISSN 2190-5428 Series E-ISSN 2190-5436
issn_series 2190-5428
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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Mohammad A. Tayebi,Uwe Gl?ssere old patients, over 75 years, to dehydration and acute renal failure. GFR estimation is always necessary and must be available before any drug prescription. Important variations are observed between the different methods of estimating GFR in elderly. Cockcroft and Gault and MDRD are the main formul
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Mohammad A. Tayebi,Uwe Gl?ssersult in complications affecting quality of life, and question whether if treated or untreated, the patient is likely to live long enough to die of the disease. However, there is good evidence that these cancers have worse tumor characteristics than those in younger men. In elderly patients, the numb
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Mohammad A. Tayebi,Uwe Gl?sserfor this reason, they have greatly grown in popularity in the modern era of medicine. These models function to replicate the clinical predictions of physicians in a reliable, unbiased, and evidence-based format that can provide patients with the necessary information to make a fully informed decisio
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