Knowledge graph for Decision Engine - Couverture souple

Nomula, Sridhar

9786207488865: Knowledge graph for Decision Engine

Couverture souple

ISBN 10 : 6207488865 ISBN 13 : 9786207488865

Editeur : LAP LAMBERT Academic Publishing, 2024

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With the advent of Bigdata technologies, healthcare data captured and stored at multiple granular levels and multiple formats. In the healthcare domain, includes hospitals, pharmaceuticals, and insurance companies have an enormous amount of data in structured tables. However, significant amounts of the big data remain underutilized due to data isolation, distribution, and heterogeneity. Despite interconnected tabular data linked together in some way for ML input, challenges are, increased dimensionality, normalization of data which is not natural representation, repetition of data on merging different aggregated data across tables. Machine learning models supposes the observations are not dependent however, the real world information is interconnected. Knowledge graphs and machine learning are two important tools to understand and model complex concepts, while machine learning is a process by which computers learn from data, without being explicitly programmed.

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�diteurLAP LAMBERT Academic Publishing
Date d'�dition2024
ISBN 10 6207488865
ISBN 13 9786207488865
ReliureBroch�
Langueanglais
Nombre de pages52

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Knowledge graph for Decision Engine

Nomula, Sridhar

Edit� par LAP LAMBERT Academic Publishing, 2024

ISBN 10 : 6207488865 ISBN 13 : 9786207488865

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Nomula, Sridhar

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Sridhar Nomula

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Nomula, Sridhar

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Sridhar Nomula

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the advent of Bigdata technologies, healthcare data captured and stored at multiple granular levels and multiple formats. In the healthcare domain, includes hospitals, pharmaceuticals, and insurance companies have an enormous amount of data in structured tables. However, significant amounts of the big data remain underutilized due to data isolation, distribution, and heterogeneity. Despite interconnected tabular data linked together in some way for ML input, challenges are, increased dimensionality, normalization of data which is not natural representation, repetition of data on merging different aggregated data across tables. Machine learning models supposes the observations are not dependent however, the real world information is interconnected. Knowledge graphs and machine learning are two important tools to understand and model complex concepts, while machine learning is a process by which computers learn from data, without being explicitly programmed. N� de r�f. du vendeur 9786207488865

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Knowledge graph for Decision Engine

Nomula, Sridhar

Edit� par LAP LAMBERT Academic Publishing, 2024

ISBN 10 : 6207488865 ISBN 13 : 9786207488865

Neuf PAP

impression � la demande

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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N� de r�f. du vendeur L0-9786207488865

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