Provenance data science models (15 risultati)

Provenance in Data Science : From Data Models to Context-aware Knowledge Graphs
Sikos, Leslie F. (EDT); Seneviratne, Oshani W. (EDT); McGuinness, Deborah L. (EDT)
Lingua: Inglese
Editore: Springer, 2021
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 137,23
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Condizione: New.

Provenance in Data Science : From Data Models to Context-aware Knowledge Graphs
Sikos, Leslie F. (EDT); Seneviratne, Oshani W. (EDT); McGuinness, Deborah L. (EDT)
Lingua: Inglese
Editore: Springer, 2021
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 136,77
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Condizione: New.

Lingua: Inglese
Editore: Springer, 2022
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Brossura
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 140,46
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Condizione: New. In.

Lingua: Inglese
Editore: Springer, 2021
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Rilegato
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 142,22
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Condizione: New. In.

Provenance in Data Science : From Data Models to Context-aware Knowledge Graphs
Sikos, Leslie F. (EDT); Seneviratne, Oshani W. (EDT); McGuinness, Deborah L. (EDT)
Lingua: Inglese
Editore: Springer, 2021
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 156,08
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Condizione: As New. Unread book in perfect condition.

Provenance in Data Science : From Data Models to Context-aware Knowledge Graphs
Sikos, Leslie F. (EDT); Seneviratne, Oshani W. (EDT); McGuinness, Deborah L. (EDT)
Lingua: Inglese
Editore: Springer, 2021
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 157,66
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Condizione: As New. Unread book in perfect condition.

Lingua: Inglese
Editore: Springer, 2022
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 212,89
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Altre immaginiLingua: Inglese
Editore: Springer, 2022
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 140,10
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: 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,…69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Lingua: Inglese
Editore: Palgrave Macmillan, 2021
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Rilegato
Da: Buchpark, Trebbin, GermaniaBuchpark
Contatta il venditoreVenditore con 5 stelleCondizione: Usato
EUR 118,72
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Condizione: 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, kn…owledge 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.

Lingua: Inglese
Editore: Springer, 2021
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 162,91
EUR 61,80 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: 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-b…ased 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.

Lingua: Inglese
Editore: Springer, 2022
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Brossura
Da: Buchpark, Trebbin, GermaniaBuchpark
Contatta il venditoreVenditore con 5 stelleCondizione: Usato
EUR 122,67
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Condizione: 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, kn…owledge 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.

Lingua: Inglese
Editore: Springer, 2022
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 167,14
EUR 61,01 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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-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.

Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs
Sikos, Leslie F. (Edited by)/ Seneviratne, Oshani W. (Edited by)/ McGuinness, Deborah L. (Edited by)
Lingua: Inglese
Editore: Springer, 2021
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 235,88
EUR 11,77 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardcover. Condizione: Brand New. 121 pages. 9.25x6.10x0.51 inches. In Stock.

Lingua: Inglese
Editore: Springer, 2022
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 226,54
EUR 7,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.

Lingua: Inglese
Editore: Springer, 2022
Serie: Advanced Information and Knowledge Processing, Libro 65 di 66. Libro 65 di 66 - Advanced Information and Knowledge Processing
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 227,09
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.