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Data Science with Semantic Technologies: Theory, Practice and Application (Advances in Intelligent and Scientific Computing) - Tapa dura
- EditorialWiley-Scrivener
- Año de publicación2022
- ISBN 10 1119864984
- ISBN 13 9781119864981
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas464
- EditorPatel Archana, Debnath Narayan C., Bhusan Bharat
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Data Science with Semantic Technologies: Theory, P ractice and Application
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Data Science With Semantic Technologies : Theory, Practice and Application
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Data Science With Semantic Technologies : Theory, Practice and Application
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ISBN 10: 1119864984
ISBN 13: 9781119864981
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Data Science With Semantic Technologies : Theory, Practice and Application
Publicado por
Wiley-Scrivener, 2022
ISBN 10: 1119864984
ISBN 13: 9781119864981
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Data Science with Semantic Technologies: Theory, Practice and Application
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Condición: New. Archana Patel, PhD, is a faculty of the Department of Software Engineering, School of Computing and Information Technology, Binh Duong Province, Vietnam. She completed her Postdoc from the Freie Universitaet Berlin, Berlin, Germany. Dr. Patel is an author or. Nº de ref. del artículo: 536955225
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Data Science with Semantic Technologies (Hardcover)
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John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119864984
ISBN 13: 9781119864981
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Hardcover. Condición: new. Hardcover. DATA SCIENCE WITH SEMANTIC TECHNOLOGIES This book will serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field. To create intelligence in data science, it becomes necessary to utilize semantic technologies which allow machine-readable representation of data. This intelligence uniquely identifies and connects data with common business terms, and it also enables users to communicate with data. Instead of structuring the data, semantic technologies help users to understand the meaning of the data by using the concepts of semantics, ontology, OWL, linked data, and knowledge-graphs. These technologies help organizations to understand all the stored data, adding the value in it, and enabling insights that were not available before. As data is the most important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. Data Science with Semantic Technologies provides a roadmap for the deployment of semantic technologies in the field of data science. Moreover, it highlights how data science enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book provides answers to various questions like: Can semantic technologies be able to facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is knowledge data science? How does knowledge data science relate to other domains? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of researchers? Audience Researchers in the fields of data science, semantic technologies, artificial intelligence, big data, and other related domains, as well as industry professionals, software engineers/scientists, and project managers who are developing the software for data science. Students across the globe will get the basic and advanced knowledge on the current state and potential future of data science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781119864981
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Data Science with Semantic Technologies : Theory, Practice and Application
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Buch. Condición: Neu. Neuware - DATA SCIENCE WITH SEMANTIC TECHNOLOGIESThis book will serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field.To create intelligence in data science, it becomes necessary to utilize semantic technologies which allow machine-readable representation of data. This intelligence uniquely identifies and connects data with common business terms, and it also enables users to communicate with data. Instead of structuring the data, semantic technologies help users to understand the meaning of the data by using the concepts of semantics, ontology, OWL, linked data, and knowledge-graphs. These technologies help organizations to understand all the stored data, adding the value in it, and enabling insights that were not available before. As data is the most important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization.Data Science with Semantic Technologies provides a roadmap for the deployment of semantic technologies in the field of data science. Moreover, it highlights how data science enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book provides answers to various questions like: Can semantic technologies be able to facilitate data science Which type of data science problems can be tackled by semantic technologies How can data scientists benefit from these technologies What is knowledge data science How does knowledge data science relate to other domains What is the role of semantic technologies in data science What is the current progress and future of data science with semantic technologies Which types of problems require the immediate attention of researchers AudienceResearchers in the fields of data science, semantic technologies, artificial intelligence, big data, and other related domains, as well as industry professionals, software engineers/scientists, and project managers who are developing the software for data science. Students across the globe will get the basic and advanced knowledge on the current state and potential future of data science. Nº de ref. del artículo: 9781119864981
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Data Science with Semantic Technologies: Theory, P ractice and Application
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Hardcover. Condición: Brand New. 350 pages. 0.39x0.39x0.39 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __1119864984
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Data Science with Semantic Technologies (Hardcover)
Publicado por
John Wiley & Sons Inc, New York, 2022
ISBN 10: 1119864984
ISBN 13: 9781119864981
Nuevo
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Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. DATA SCIENCE WITH SEMANTIC TECHNOLOGIES This book will serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field. To create intelligence in data science, it becomes necessary to utilize semantic technologies which allow machine-readable representation of data. This intelligence uniquely identifies and connects data with common business terms, and it also enables users to communicate with data. Instead of structuring the data, semantic technologies help users to understand the meaning of the data by using the concepts of semantics, ontology, OWL, linked data, and knowledge-graphs. These technologies help organizations to understand all the stored data, adding the value in it, and enabling insights that were not available before. As data is the most important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. Data Science with Semantic Technologies provides a roadmap for the deployment of semantic technologies in the field of data science. Moreover, it highlights how data science enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book provides answers to various questions like: Can semantic technologies be able to facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is knowledge data science? How does knowledge data science relate to other domains? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of researchers? Audience Researchers in the fields of data science, semantic technologies, artificial intelligence, big data, and other related domains, as well as industry professionals, software engineers/scientists, and project managers who are developing the software for data science. Students across the globe will get the basic and advanced knowledge on the current state and potential future of data science. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781119864981
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