Zustand: Gut | Seiten: 300 | Sprache: Englisch | Produktart: B�cher | 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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Bibliographic Details

Title

Algorithms for Big Data : DFG Priority Program 1736

Publisher

Springer

Publication Date

2023

Language

English

ISBN 10

3031215338

ISBN 13

9783031215339

Binding

Soft cover

Condition

Gut

Seller catalogs

B�cher

About this title

Synopsis

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.

From the Back Cover

This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware.

This is an open access book.

"About this title" may belong to another edition of this title.

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