Creating Simulation Parameter Inputs with Existing Data Sources: Estimating Offender Risks, Needs, and Recidivism

Author(s):  
Stephanie A. Ainsworth ◽  
Faye S. Taxman
2020 ◽  
Vol Volume 12 ◽  
pp. 415-422 ◽  
Author(s):  
Josephina G Kuiper ◽  
Marina Bakker ◽  
Fernie JA Penning-van Beest ◽  
Ron MC Herings

2013 ◽  
pp. 81 ◽  
Author(s):  
Vivian Langagergaard ◽  
Garne ◽  
Vejborg ◽  
Schwartz ◽  
Bak ◽  
...  

2021 ◽  
Vol Volume 13 ◽  
pp. 175-181
Author(s):  
Po-Chang Lee ◽  
Feng-Yu Kao ◽  
Fu-Wen Liang ◽  
Yi-Chan Lee ◽  
Sheng-Tun Li ◽  
...  

Author(s):  
Nouha Arfaoui ◽  
Jalel Akaichi

The healthcare industry generates huge amount of data underused for decision making needs because of the absence of specific design mastered by healthcare actors and the lack of collaboration and information exchange between the institutions. In this work, a new approach is proposed to design the schema of a Hospital Data Warehouse (HDW). It starts by generating the schemas of the Hospital Data Mart (HDM) one for each department taking into consideration the requirements of the healthcare staffs and the existing data sources. Then, it merges them to build the schema of HDW. The bottom-up approach is suitable because the healthcare departments are separately. To merge the schemas, a new schema integration methodology is used. It starts by extracting the similar elements of the schemas and the conflicts and presents them as mapping rules. Then, it transforms the rules into queries and applies them to merge the schemas.


2017 ◽  
pp. 182-185
Author(s):  
Philipp Sebastian Angermeyer
Keyword(s):  

Author(s):  
Dangzhi Zhao ◽  
Andreas Strotmann

We explore the need for and the architecture of a Problem Solving Environment (PSE) for scholarly communication research through an examination of the problem area it addresses, the problem solving processes that scholarly communication researchers commonly employ, and the existing data sources for this type of research.Nous explorons l’architecture et le besoin pour un environnement de résolution de problèmes (ERP) pour la communication de recherches universitaires par l’examen de l’étendue du problème qu’il soulève, le processus de résolution du problème que la communication des recherches universitaires généralement utilise et les sources de données qui existent pour ce type de recherche. 


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