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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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (162 p.)
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520 |a 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 point of view. It begins with a discussion of how DSSs will be vital to improving the health of the population. The following article deals with how DSSs can be applied to improve the performance of people doing a specific task, like playing tennis. It continues with a work in which authors apply DSSs to insect pest management, together with an interactive platform for fitting data and carrying out spatial visualization. The next article improves how to reschedule trains whenever disturbances occur, together with an evaluation framework. The final works focus on different relevant areas of DSSs: 1) a comparison of ensemble and dimensionality reduction models based on an entropy criterion; 2) a radar emitter identification method based on semi-supervised and transfer learning; 3) design limitations, errors, and hazards in creating very large-scale DSSs; and 4) efficient rule generation for associative classification. We hope you enjoy all the contents in the book. 
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650 7 |a History of engineering & technology  |2 bicssc 
653 |a semi-supervised learning 
653 |a transfer learning 
653 |a radar emitter 
653 |a decision support systems 
653 |a population health management 
653 |a big data 
653 |a machine learning 
653 |a deep learning 
653 |a personalized patient care 
653 |a Nonlinear regression 
653 |a interactive platform 
653 |a component-based approach 
653 |a software architecture 
653 |a Eclipse-RCP (Rich Client Platform) 
653 |a spatial prediction 
653 |a rule-based expert systems 
653 |a tennis hitting technique 
653 |a computer algebra systems 
653 |a Groebner bases 
653 |a Boolean logic 
653 |a data envelopment analysis 
653 |a dimensionality reduction 
653 |a ensembles 
653 |a exhaustive state space search 
653 |a entropy 
653 |a associative classification 
653 |a class association rule 
653 |a vertical data representation 
653 |a classification 
653 |a algorithm evaluation 
653 |a parallel algorithms 
653 |a multi-objective optimization 
653 |a train rescheduling 
653 |a very large-scale decision support systems 
653 |a very large-scale data and program cores of information systems 
653 |a meta-database 
653 |a teleological meta-database 
653 |a thematic list 
653 |a indicators list 
653 |a computational methods list 
653 |a geographically dispersed systems 
653 |a external sources 
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