A data-driven war on crime
نویسندگان
چکیده
منابع مشابه
War and Crime
This book deals with the analogies between the causes of war and the causes of crime, the effects of war upon crime and the possibility of Preventing and punishing war by methods similar to those used in the penal code applied to the individual. Readers of this journal as intelligent citizens will find the whole book worth studying, especially the last section in which international Police duty...
متن کاملThe War on Drugs: Methamphetamine, Public Health, and Crime.
In mid-1995, a government effort to reduce the supply of methamphetamine precursors successfully disrupted the methamphetamine market and interrupted a trajectory of increasing usage. The price of methamphetamine tripled and purity declined from 90 percent to 20 percent. Simultaneously, amphetaminerelated hospital and treatment admissions dropped 50 percent and 35 percent, respectively. Methamp...
متن کاملEnhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining
This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...
متن کاملScalable Semantically Driven Decision Trees for Crime Data
When dealing with large volumes of data in organizations, there is always a need to associate data with its appropriate meaning, since the same data object may have different meaning to different users. This creates a problem of delivering search results that is different from a requester’s intended purpose. To solve this problem, we propose a parallelizable framework capable of capturing user ...
متن کاملCrime Prediction by Data-Driven Green's Function method
Applying machine learning (ML) toward social issues such as crime has a hope to protect people by well-controlled security manners. On the other hand, the ML has a potential drawback to reinforce an irrational bias in places and people deemed at risk, if the ML is based on a "black-box" model from which one is unable to explain any reasonable justifications of its prediction. Here we develop an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature
سال: 2012
ISSN: 0028-0836,1476-4687
DOI: 10.1038/484016a