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Algorithms for Big Data
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Algorithms for Big Data : DFG Priority Program 1736

1st ed. 2022

Book Details

Format Paperback / Softback
ISBN-10 3031215338
ISBN-13 9783031215339
Edition 1st ed. 2022
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 19th, 2023
Print length 285 Pages
Product Classification: Algorithms & data structuresDatabases
Ksh 6,300.00
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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.
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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