Algorithms for Big Data
DFG Priority Program 1736
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Beschreibung
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.
This book is open access, which means that you have free and unlimited access Surveys the progress in selected aspects of the growing field of big data Tackles problems such as transportation systems, energy supply, medicine Examines in combination with increasingly complicated hardware
Autor*in
Hannah Bast
Themen in »Algorithms for Big Data«
computer hardware computer networks computer programming computer science computer systems directed graphs distributed computer systems distributed systems engineering graph theory graphic methods internet mathematics microprocessor chips network protocols
Stimmen zu »Algorithms for Big Data«
“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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