Publication:
Algorithms for Big Data

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dc.contributor.author Hannah Bast, Claudius Korzen, Ulrich Meyer, Manuel Penschuck (editors)
dc.date.accessioned 2023-06-15T02:24:16Z
dc.date.available 2023-06-15T02:24:16Z
dc.date.issued 2022
dc.description DOI: https://doi.org/10.1007/978-3-031-21534-6; License: CC BY; Publisher: Springer
dc.description.abstract 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.
dc.identifier.doi https://doi.org/10.1007/978-3-031-21534-6
dc.identifier.isbn 9783031215346
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/5336
dc.language.iso en
dc.subject Computer hardware
dc.subject computer networks
dc.subject computer programming
dc.subject computer science
dc.subject computer systems
dc.subject directed graphs
dc.subject distributed computer systems
dc.subject distributed systems
dc.subject engineering
dc.subject graph theory
dc.subject graphic methods
dc.subject internet
dc.subject mathematics
dc.subject microprocessor chips
dc.subject network protocols
dc.subject parallel processing systems
dc.subject processors
dc.subject signal processing
dc.subject telecommunication systems
dc.subject theoretical computer science
dc.title Algorithms for Big Data
dc.type Resource Types::text::book
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
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