In this last decade predictive monitoring is an emerging theme of great social importance. In many fields the possibility of having prediction tools is a crucial need for taking suitable measures in advance before an undesired event may occur. Let us think, for example, of prevention of high risk events for health (preventive medicine), or serious faults of costly equipments (industry). Similarly, the possibility of getting predictions about the occurrence of a desired event is useful for taking suitable measures in order to favor the event occurrence (let us think, for example, of reaching a target athletic performance in the sport field). The book presents both a probabilistic model and a general software environment for building specific prediction tools in heterogeneous application fields, tools that, providing facilities for simulating possible future scenarios for each subject being monitored, support personalized decision making. This book should be especially useful to all domain experts that monitor populations of subjects and aim at taking personalized measures in advance, or anyone else (researchers, students) who is interested in the predictive monitoring technology.
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In this last decade predictive monitoring is an emerging theme of great social importance. In many fields the possibility of having prediction tools is a crucial need for taking suitable measures in advance before an undesired event may occur. Let us think, for example, of prevention of high risk events for health (preventive medicine), or serious faults of costly equipments (industry). Similarly, the possibility of getting predictions about the occurrence of a desired event is useful for taking suitable measures in order to favor the event occurrence (let us think, for example, of reaching a target athletic performance in the sport field). The book presents both a probabilistic model and a general software environment for building specific prediction tools in heterogeneous application fields, tools that, providing facilities for simulating possible future scenarios for each subject being monitored, support personalized decision making. This book should be especially useful to all domain experts that monitor populations of subjects and aim at taking personalized measures in advance, or anyone else (researchers, students) who is interested in the predictive monitoring technology.
Silvano Mussi (degree in Physics) has worked as a manager with a inter-university consortium for information technology. He has done research for several years and is author of many scientific publications in the field of Artificial Intelligence. His current research interests are in the fields of predictive monitoring and decision support systems
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this last decade predictive monitoring is an emerging theme of great social importance. In many fields the possibility of having prediction tools is a crucial need for taking suitable measures in advance before an undesired event may occur. Let us think, for example, of prevention of high risk events for health (preventive medicine), or serious faults of costly equipments (industry). Similarly, the possibility of getting predictions about the occurrence of a desired event is useful for taking suitable measures in order to favor the event occurrence (let us think, for example, of reaching a target athletic performance in the sport field). The book presents both a probabilistic model and a general software environment for building specific prediction tools in heterogeneous application fields, tools that, providing facilities for simulating possible future scenarios for each subject being monitored, support personalized decision making. This book should be especially useful to all domain experts that monitor populations of subjects and aim at taking personalized measures in advance, or anyone else (researchers, students) who is interested in the predictive monitoring technology. 132 pp. Englisch. N° de réf. du vendeur 9783639769982
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this last decade predictive monitoring is an emerging theme of great social importance. In many fields the possibility of having prediction tools is a crucial need for taking suitable measures in advance before an undesired event may occur. Let us think, for example, of prevention of high risk events for health (preventive medicine), or serious faults of costly equipments (industry). Similarly, the possibility of getting predictions about the occurrence of a desired event is useful for taking suitable measures in order to favor the event occurrence (let us think, for example, of reaching a target athletic performance in the sport field). The book presents both a probabilistic model and a general software environment for building specific prediction tools in heterogeneous application fields, tools that, providing facilities for simulating possible future scenarios for each subject being monitored, support personalized decision making. This book should be especially useful to all domain experts that monitor populations of subjects and aim at taking personalized measures in advance, or anyone else (researchers, students) who is interested in the predictive monitoring technology. N° de réf. du vendeur 9783639769982
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mussi SilvanoSilvano Mussi (degree in Physics) has worked as a manager with a inter-university consortium for information technology. He has done research for several years and is author of many scientific publications in the field o. N° de réf. du vendeur 153341982
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this last decade predictive monitoring is an emerging theme of great social importance. In many fields the possibility of having prediction tools is a crucial need for taking suitable measures in advance before an undesired event may occur. Let us think, for example, of prevention of high risk events for health (preventive medicine), or serious faults of costly equipments (industry). Similarly, the possibility of getting predictions about the occurrence of a desired event is useful for taking suitable measures in order to favor the event occurrence (let us think, for example, of reaching a target athletic performance in the sport field). The book presents both a probabilistic model and a general software environment for building specific prediction tools in heterogeneous application fields, tools that, providing facilities for simulating possible future scenarios for each subject being monitored, support personalized decision making. This book should be especially useful to all domain experts that monitor populations of subjects and aim at taking personalized measures in advance, or anyone else (researchers, students) who is interested in the predictive monitoring technology.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 132 pp. Englisch. N° de réf. du vendeur 9783639769982
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Taschenbuch. Etat : Neu. Predictive Monitoring | Probabilistic Model and General Software Environment for Building Application-Oriented Predictive Monitoring Tools | Silvano Mussi | Taschenbuch | 132 S. | Englisch | 2015 | Scholars' Press | EAN 9783639769982 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 104188812
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