Algorithms for Big Data: DFG Priority Program 1736

Author:   Hannah Bast ,  Claudius Korzen ,  Ulrich Meyer ,  Manuel Penschuck
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   13201
ISBN:  

9783031215339


Pages:   285
Publication Date:   19 January 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Algorithms for Big Data: DFG Priority Program 1736


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Overview

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.

Full Product Details

Author:   Hannah Bast ,  Claudius Korzen ,  Ulrich Meyer ,  Manuel Penschuck
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   13201
Weight:   0.462kg
ISBN:  

9783031215339


ISBN 10:   3031215338
Pages:   285
Publication Date:   19 January 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

“This book covers a wide range of topics in big data research. If I were running a master’s program in big data, I would use this book as a source for dissertations. It’s hard to envisage anyone (except perhaps a starting PhD student wanting to get a feel for the range of big data research) reading the entire book, but the individual papers will have their own readerships.” (J. H. Davenport, Computing Reviews, February 7, 2024)


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