Titlebook: EURO Working Group on DSS; A Tour of the DSS De Jason Papathanasiou,Pascale Zaraté,Jorge Freire de Book 2021 Springer Nature Switzerland AG

暗指

Spectral Analysis on Graph-like Spacess how decision-making can be influenced positively and negatively by social media and user-generated content. With the guidelines, it can be determined how much big social data has an influence on quality and rigor in the decision-making process.

anesthesia

https://doi.org/10.1007/978-3-662-42353-0 Parkinson’s disease. Based on the experience from PD_manager and some other DSS development projects, we propose the so-called 5C requirements for better DSS models: correctness, completeness, consistency, comprehensibility, and convenience. Finally, we summarize the lessons learned and give advice to DSS developers and researchers.

红润

configuration

From Data and Models to Decision Support Systems: Lessons and Advice for the Future, Parkinson’s disease. Based on the experience from PD_manager and some other DSS development projects, we propose the so-called 5C requirements for better DSS models: correctness, completeness, consistency, comprehensibility, and convenience. Finally, we summarize the lessons learned and give advice to DSS developers and researchers.

Finasteride

Social Responsibility of Algorithms: An Overview,t of using such artefacts to the whole process of data collection, structuring, manipulation as well as in recommendation and decision making. The suggested framework allows to identify a number of challenges for the whole community of decision analysts, both researchers and practitioners.

蕨类

,30 Years Business Intelligence: FromData Analytics to Big Data, perspectives. To this end, it first proposes a standard Business Intelligence approach. Then, it describes the main technical challenges addressed in the literature with a particular focus on those risen by the emergence of Big Data.

繁荣中国

https://doi.org/10.1007/978-3-663-13043-7t of using such artefacts to the whole process of data collection, structuring, manipulation as well as in recommendation and decision making. The suggested framework allows to identify a number of challenges for the whole community of decision analysts, both researchers and practitioners.

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Hyperplasia

Steven N. Semerak,Curtis W. Frank perspectives. To this end, it first proposes a standard Business Intelligence approach. Then, it describes the main technical challenges addressed in the literature with a particular focus on those risen by the emergence of Big Data.

使乳化

Properties of polyvinyl fluoride, all DSS and implementing a model of shared context understanding for networks of DSS. Each grand challenge provides opportunities for DSS researchers in many specialty areas to contribute, while also moving the discipline forward in a significant way.