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On Uncertain Graphs (Synthesis Lectures on Data Management)
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Biomedical Data Management and Graph Online Querying: VLDB 2015 Workshops, Big-O(Q) and DMAH, Waikoloa, HI, USA, August 31 - September 4, 2015, ... Applications, incl. Internet/Web, and HCI)
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On Uncertain Graphs
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Biomedical Data Management and Graph Online Querying : Vldb 2015 Workshops, Big-o(q) and Dmah, Waikoloa, Hi, USA, August 31 ? September 4, 2015, Revised Selected Papers
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On Uncertain Graphs
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Biomedical Data Management and Graph Online Querying: Vldb 2015 Workshops, Big-o(q) and Dmah, Waikoloa, Hi, USA, August 31 September 4, 2015, Revised Selected Papers
Language: English
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 3319415751 ISBN 13: 9783319415758
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Add to basketPaperback. Condition: Brand New. revised edition. 195 pages. 9.00x6.00x0.50 inches. In Stock.
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Biomedical Data Management and Graph Online Querying : VLDB 2015 Workshops, Big-O(Q) and DMAH, Waikoloa, HI, USA, August 31 ż September 4, 2015, Revised Selected Papers
Language: English
Published by Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 3319415751 ISBN 13: 9783319415758
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the two International Workshops on Big-Graphs Online Querying, Big-O(Q) 2015, and Data Management and Analytics for Medicine and Healthcare, DMAH 2015, held at Waikoloa, Hawaii, USA on August 31 and September 4, 2015, in conjunction with the 41st International Conference on Very Large Data Bases, VLDB 2015.The 9 revised full papers presented together with 5 invited papers and 1 extended abstract were carefully reviewed and selected from 22 initial submissions. The papers are organized in topical sections on information retrieval and data analytics for electronic medical records; data management and visualization of medical data; biomedical data sharing and integration; medical imaging analytics; and big-graphs online querying.
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On Uncertain Graphs
Language: English
Published by Springer, Berlin, Springer International Publishing, Morgan & Claypool, Springer, 2018
ISBN 10: 3031007328 ISBN 13: 9783031007323
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Large-scale, highly interconnected networks, which are often modeled as graphs, pervade both our society and the natural world around us. Uncertainty, on the other hand, is inherent in the underlying data due to a variety of reasons, such as noisy measurements, lack of precise information needs, inference and prediction models, or explicit manipulation, e.g., for privacy purposes. Therefore, uncertain, or probabilistic, graphs are increasingly used to represent noisy linked data in many emerging application scenarios, and they have recently become a hot topic in the database and data mining communities. Many classical algorithms such as reachability and shortest path queries become #P-complete and, thus, more expensive over uncertain graphs. Moreover, various complex queries and analytics are also emerging over uncertain networks, such as pattern matching, information diffusion, and influence maximization queries. In this book, we discuss the sources of uncertain graphs and their applications, uncertainty modeling, as well as the complexities and algorithmic advances on uncertain graphs processing in the context of both classical and emerging graph queries and analytics. We emphasize the current challenges and highlight some future research directions.
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Taschenbuch. Condition: Neu. Biomedical Data Management and Graph Online Querying | VLDB 2015 Workshops, Big-O(Q) and DMAH, Waikoloa, HI, USA, August 31 - September 4, 2015, Revised Selected Papers | Fusheng Wang (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiv | Englisch | 2016 | Springer | EAN 9783319415758 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. On Uncertain Graphs | Arijit Khan (u. a.) | Taschenbuch | xiii | Englisch | 2018 | Springer | EAN 9783031007323 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Add to basketPaperback. Condition: Brand New. 439 pages. 6.14x0.90x9.21 inches. In Stock.
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Taschenbuch. Condition: Neu. Databases Theory and Applications | 36th Australasian Database Conference, ADC 2025, Sydney, NSW, Australia and Bali, Indonesia, December 4-6, 2025, Proceedings | Renata Borovica-Gajic (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvii | Englisch | 2026 | Springer | EAN 9789819561957 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Biomedical Data Management and Graph Online Querying : Vldb 2015 Workshops, Big-o(q) and Dmah, Waikoloa, Hi, USA, August 31 ? September 4, 2015, Revised Selected Papers
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 36th Australasian Database Conference on Databases Theory and Applications, ADC 2025, held in Sydney, NSW, Australia, during December 4 7, 2025.The 29 full papers presented in this volume are carefully reviewed and selected from 63 submissions. The papers of CDFC 2025 organized in topical sections as follows: Intelligent Investment and Quantitative Trading; Financial Risk Management.
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Condition: new. Questo è un articolo print on demand.
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Biomedical Data Management and Graph Online Querying
Language: English
Published by Springer International Publishing Jun 2016, 2016
ISBN 10: 3319415751 ISBN 13: 9783319415758
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the two International Workshops on Big-Graphs Online Querying, Big-O(Q) 2015, and Data Management and Analytics for Medicine and Healthcare, DMAH 2015, held at Waikoloa, Hawaii, USA on August 31 and September 4, 2015, in conjunction with the 41st International Conference on Very Large Data Bases, VLDB 2015.The 9 revised full papers presented together with 5 invited papers and 1 extended abstract were carefully reviewed and selected from 22 initial submissions. The papers are organized in topical sections on information retrieval and data analytics for electronic medical records; data management and visualization of medical data; biomedical data sharing and integration; medical imaging analytics; and big-graphs online querying. 216 pp. Englisch.
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On Uncertain Graphs
Language: English
Published by Berlin Springer International Publishing Springer Jul 2018, 2018
ISBN 10: 3031007328 ISBN 13: 9783031007323
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Large-scale, highly interconnected networks, which are often modeled as graphs, pervade both our society and the natural world around us. Uncertainty, on the other hand, is inherent in the underlying data due to a variety of reasons, such as noisy measurements, lack of precise information needs, inference and prediction models, or explicit manipulation, e.g., for privacy purposes. Therefore, uncertain, or probabilistic, graphs are increasingly used to represent noisy linked data in many emerging application scenarios, and they have recently become a hot topic in the database and data mining communities. Many classical algorithms such as reachability and shortest path queries become #P-complete and, thus, more expensive over uncertain graphs. Moreover, various complex queries and analytics are also emerging over uncertain networks, such as pattern matching, information diffusion, and influence maximization queries. In this book, we discuss the sources of uncertain graphs and their applications, uncertainty modeling, as well as the complexities and algorithmic advances on uncertain graphs processing in the context of both classical and emerging graph queries and analytics. We emphasize the current challenges and highlight some future research directions. 80 pp. Englisch.
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