Algorithms for big data : DFG priority program 1736
This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DFG) as priority program SPP 1736 on Algorithmics fo...
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| Hlavní autor: | |
|---|---|
| Médium: | E-kniha Kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham
Springer
2022
Springer Nature Goethe-Universitat Frankfurt am Main |
| Vydání: | 1 |
| Edice: | Lecture Notes in Computer Science |
| Témata: | |
| ISBN: | 3031215338, 9783031215339, 9783031215346, 3031215346 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DFG) as priority program SPP 1736 on Algorithmics for Big Data where researchers from theoretical computer science worked together with application experts in order to tackle problems in domains such as networking, genomics research, and information retrieval. Such domains are unthinkable without substantial hardware and software support, and these systems acquire, process, exchange, and store data at an exponential rate. The chapters of this volume summarize the results of projects realized within the program and survey-related work. This is an open access book. |
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| Bibliografie: | Includes bibliographical references and index |
| ISBN: | 3031215338 9783031215339 9783031215346 3031215346 |
| DOI: | 10.1007/978-3-031-21534-6 |

