Algorithms in Decision Support Systems

Algorithms in Decision Support Systems

This book aims to provide a new vision of how algorithms are the core of decision support systems (DSSs), which are increasingly important information systems that help to make decisions related to unstructured and semi-unstructured decision problems that do not have a simple solution from a human p...

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Bibliographic Details
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
History of engineering and technology
algorithm evaluation
associative classification
big data
Boolean logic
class association rule
classification
component-based approach
computational methods list
computer algebra systems
data envelopment analysis
decision support systems
deep learning
dimensionality reduction
Eclipse-RCP (Rich Client Platform)
ensembles
entropy
exhaustive state space search
external sources
geographically dispersed systems
Groebner bases
indicators list
interactive platform
machine learning
meta-database
multi-objective optimization
Nonlinear regression
parallel algorithms
personalized patient care
population health management
radar emitter
rule-based expert systems
semi-supervised learning
software architecture
spatial prediction
teleological meta-database
tennis hitting technique
thematic list
train rescheduling
transfer learning
vertical data representation
very large-scale data and program cores of information systems
very large-scale decision support systems
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Open Access: DOAB: description of the publication
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