Data analytics on graphs
"The current availability of pwerful computers and huge data sets is creating new opportunities in computational mathematics to bring together concepts and tools from graph theory, machine learning and signal processing, creating Data Analytics on Graphs. In discrete mathematics, a graph is mer...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boston, Delft
now
2021
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| Schriftenreihe: | Foundations and trends in machine learning
volume 13, issue 1-4 |
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Tag hinzufügen | Zusammenfassung: | "The current availability of pwerful computers and huge data sets is creating new opportunities in computational mathematics to bring together concepts and tools from graph theory, machine learning and signal processing, creating Data Analytics on Graphs. In discrete mathematics, a graph is merely a collection of points (nodes) and lines connecting some or all of them. The power of such graphs lies in the fact that the nodes can represent entities as diverse as the users of social networks or financial market data, and that these can be transformed into signals which can be analyzed useing data analytics tools. Data Analytics on Graphs is a comprehensive introduction to generating advanced data analytics on graphs that allows us to move beyond the standard regular sampling in time and space to facilitate modelling in many important areas, including communication networks, computer science, linguistics, social sciences, biology, physics, chemistry, transport, town planning, financial systems, personal health and many others" -- from back cover |
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| Beschreibung: | "This book is originally published as Foundations and Trends® in Machine Learning Volume 13 Issue 1-4, ISSN: 1935-8237" -- back cover |
| Beschreibung: | 545 Seiten Diagramme 24 cm |
| ISBN: | 9781680839821 978-1-68083-982-1 1680839829 1-68083-982-9 |