This item is printed on demand - it takes 3-4 days longer - Neuware -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. 300 pp. Englisch.

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Bibliographic Details

Title: Algorithms for Big Data
Publisher: Springer Nature Switzerland Jan 2023
Publication Date: 2023
Language: English
ISBN 10: 3031215338
ISBN 13: 9783031215339
Binding: Taschenbuch
Condition: Neu
Dimensions: 235 millimeters width by 155 millimeters height by 17 millimeters depth
Weight: 458 grams

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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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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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