Results 11 to 20 of about 1,001,660 (315)

Integration of decision support systems to improve decision support performance [PDF]

Knowledge and Information Systems, 2009
Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS).
Shaofeng Liu 0001, Alex H. B. Duffy, Robert Ian Whitfield, Iain M. Boyle   +3 more
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Decision Support Systems Advances in [PDF]

, 2010
This book helps the reader understand the power of informed decision making by covering a broad range of DSS (Decision Support Systems) applications in the fields of medical, environmental, transport and business. The expertise of the chapter writers spans an equally extensive spectrum of researchers from around the globe including universities in ...
Devlin, Ger
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The Backbone of Decision Support Systems [PDF]

International Journal of Information Systems for Crisis Response and Management, 2018
Understanding the current situation is critical in every natural disaster or crisis. Therefore, there is a need for accurate and up-to-date information about the scope, extent and impact of a disaster. The basis for this information is data that is available through a variety of sensors.
Hertweck, Philipp, Moßgraber, Jürgen, Kontopoulos, Efstratios, Mitzias, Panagiotis, Hellmund, Tobias, Karakostas, Anastasios, Hilbring, Désirée, van der Schaaf, Hylke, Vrochidis, Stefanos, Blume, Jan-Wilhem, Kompatsiaris, Ioannis   +10 more
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Propagation effects of model-calculated probability values in Bayesian networks [PDF]

, 2015
Probabilistic causal interaction models have become quite popular among Bayesian-network engineers as elicitation of all probabilities required often proves the main bottleneck in building a real-world network with domain experts.
Decision Support Systems, Woudenberg, Steven, Sub Decision Support Systems, van der Gaag, Linda   +3 more
core   +1 more source

Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers [PDF]

, 2017
Multi-dimensional Bayesian network classifiers are Bayesian networks of restricted topological structure, which are tailored to classifying data instances into multiple dimensions.
Bolt, J.H., Decision Support Systems, Sub Decision Support Systems, van der Gaag, L.C., Dep Informatica   +4 more
core   +1 more source

Concise representations and construction algorithms for semi-graphoid independency models [PDF]

, 2017
The conditional independencies from a joint probability distribution constitute a model which is closed under the semi-graphoid properties of independency. These models typically are exponentially large in size and cannot be feasibly enumerated.
Lopatatzidis, S., Decision Support Systems, Sub Decision Support Systems, van der Gaag, L.C., van der Gaag, Linda C., Lopatatzidis, Stavros   +5 more
core   +1 more source

Exploiting Causality in Constructing Bayesian Network Graphs from Legal Arguments [PDF]

, 2018
In this paper, we propose a structured approach for transforming legal arguments to a Bayesian network (BN) graph. Our approach automatically constructs a fully specified BN graph by exploiting causality information present in legal arguments.
Sub Intelligent Systems, Bex, F.J.; id_orcid, Wieten, G.M., Renooij, S., Intelligent Systems, Decision Support Systems, Sub Decision Support Systems, Bex, F.J., Palmirani, Monica, Prakken, H.   +9 more
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Transfer Learning for Day-Ahead Load Forecasting: A Case Study on European National Electricity Demand Time Series

Mathematics, 2023
Short-term load forecasting (STLF) is crucial for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand time series renders STLF a challenging task.
Alexandros Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis, Evangelos Karakolis, Spiros Mouzakitis, John Psarras, Dimitris Askounis   +6 more
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Decision Support Systems in Oncology

JCO Clinical Cancer Informatics, 2019
Precision medicine is the future of health care: please watch the animation at https://vimeo.com/241154708 . As a technology-intensive and -dependent medical discipline, oncology will be at the vanguard of this impending change. However, to bring about precision medicine, a fundamental conundrum must be solved: Human cognitive capacity, typically ...
Walsh, Sean, de Jong, Evelyn E. C., van Timmeren, Janna E., Ibrahim, Abdalla, Compter, Inge, Peerlings, Jurgen, Sanduleanu, Sebastian, Refaee, Turkey, Keek, Simon, Larue, Ruben T. H. M., van Wijk, Yvonka, Even, Aniek J. G., Jochems, Arthur, Barakat, Mohamed S., Leijenaar, Ralph T. H., Lambin, Philippe   +15 more
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Communication and Decision Support Systems

International Journal of Safety and Security Engineering, 2021
In emergencies, assessment and communication activities are particularly important for the support of the top decision-making bodies, to evaluate “just in time” the best actions to be taken. The multiple problems to be solved require specific skills in different areas. Upon the occurrence of a calamity, the authorities must answer questions such as “is
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