Provenance Data Science Models (17 results)
Language: English
Published by Springer 2021
Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
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Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
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Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
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Language: English
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Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
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Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
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Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
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Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
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Language: English
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Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
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Language: English
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Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
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Published by Springer 2022
Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
- Softcover
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Taschenbuch. Condition: Neu. Provenance in Data Science | From Data Models to Context-Aware Knowledge Graphs | Leslie F. Sikos (u. a.) | Taschenbuch | Advanced Information and Knowledge Processing | xi | Englisch | 2022 | Springer | EAN 9783030676834 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 6…9121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer International Publishing, Springer Nature Switzerland 2021
Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-ba…sed representations across multiple application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This is important to make statements authoritative, verifiable, and reproducible, such as in biomedical, pharmaceutical, and cybersecurity applications, where the data source and generator can be just as important as the data itself. Capturing provenance is critical to ensure sound experimental results and rigorously designed research studies for patient and drug safety, pathology reports, and medical evidence generation. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack mapsthat aggregate and/or fuse heterogeneous data from disparate data sources to differentiate between unimportant online events and dangerous cyberattacks, which is demonstrated in this book. Without provenance, data reliability and trustworthiness might be limited, causing data reuse, trust, reproducibility and accountability issues.This book primarily targets researchers who utilize knowledge graphs in their methods and approaches (this includes researchers from a variety of domains, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance approaches and techniques, complemented by a critical review of existing approaches. New research directions are also provided that combine data science and knowledge graphs, for an increasingly important research topic.
Language: English
Published by Palgrave Macmillan 2021
Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
- Hardcover
Seller: Buchpark, Trebbin, , GermanyBuchpark
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, kno…wledge graph-based representations across multiple application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This is important to make statements authoritative, verifiable, and reproducible, such as in biomedical, pharmaceutical, and cybersecurity applications, where the data source and generator can be just as important as the data itself. Capturing provenance is critical to ensure sound experimental results and rigorously designed research studies for patient and drug safety, pathology reports, and medical evidence generation. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack mapsthat aggregate and/or fuse heterogeneous data from disparate data sources to differentiate between unimportant online events and dangerous cyberattacks, which is demonstrated in this book. Without provenance, data reliability and trustworthiness might be limited, causing data reuse, trust, reproducibility and accountability issues.This book primarily targets researchers who utilize knowledge graphs in their methods and approaches (this includes researchers from a variety of domains, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance approaches and techniques, complemented by a critical review of existing approaches. New research directions are also provided that combine data science and knowledge graphs, for an increasingly important research topic.
Language: English
Published by Springer 2022
Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
- Softcover
Seller: Buchpark, Trebbin, , GermanyBuchpark
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, kno…wledge graph-based representations across multiple application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This is important to make statements authoritative, verifiable, and reproducible, such as in biomedical, pharmaceutical, and cybersecurity applications, where the data source and generator can be just as important as the data itself. Capturing provenance is critical to ensure sound experimental results and rigorously designed research studies for patient and drug safety, pathology reports, and medical evidence generation. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack mapsthat aggregate and/or fuse heterogeneous data from disparate data sources to differentiate between unimportant online events and dangerous cyberattacks, which is demonstrated in this book. Without provenance, data reliability and trustworthiness might be limited, causing data reuse, trust, reproducibility and accountability issues.This book primarily targets researchers who utilize knowledge graphs in their methods and approaches (this includes researchers from a variety of domains, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance approaches and techniques, complemented by a critical review of existing approaches. New research directions are also provided that combine data science and knowledge graphs, for an increasingly important research topic.
Language: English
Published by Springer 2022
Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge g…raph-based representations across multiple application domains, in order to demonstrate how to combine graph-based data models and provenance representations. This is important to make statements authoritative, verifiable, and reproducible, such as in biomedical, pharmaceutical, and cybersecurity applications, where the data source and generator can be just as important as the data itself. Capturing provenance is critical to ensure sound experimental results and rigorously designed research studies for patient and drug safety, pathology reports, and medical evidence generation. Similarly, provenance is needed for cyberthreat intelligence dashboards and attack mapsthat aggregate and/or fuse heterogeneous data from disparate data sources to differentiate between unimportant online events and dangerous cyberattacks, which is demonstrated in this book. Without provenance, data reliability and trustworthiness might be limited, causing data reuse, trust, reproducibility and accountability issues.This book primarily targets researchers who utilize knowledge graphs in their methods and approaches (this includes researchers from a variety of domains, such as cybersecurity, eHealth, data science, Semantic Web, etc.). This book collects core facts for the state of the art in provenance approaches and techniques, complemented by a critical review of existing approaches. New research directions are also provided that combine data science and knowledge graphs, for an increasingly important research topic.
Language: English
Published by Springer 2021
Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
- Hardcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Language: English
Published by Springer 2022
Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
- Softcover
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Language: English
Published by Springer 2022
Series: Advanced Information and Knowledge Processing, Book 65 of 66. Book 65 of 66 - Advanced Information and Knowledge Processing
- Softcover
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