BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

No image available

Algorithms for Big Data: DFG Priority Program 1736: 13201 (Lecture Notes in Computer Science)

No image available
No image available

Algorithms for Big Data: DFG Priority Program 1736: 13201 (Lecture Notes in Computer Science) Papeback - 2022

by Hannah Bast (Editor); Claudius Korzen (Editor); Ulrich Meyer (Editor)

Add to wish list
  • New
New

Description

1st ed. 2022 edition omer Service Center GmbH ProductSafety@springernature.com NO-PA16APR2015-KAP. Papeback. New.
Ask the seller a question Add to wish list
A$115.07
A$5.77 Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Ships from Cold Books (New York, United States)

Details

  • Title Algorithms for Big Data: DFG Priority Program 1736: 13201 (Lecture Notes in Computer Science)
  • Author Hannah Bast (Editor); Claudius Korzen (Editor); Ulrich Meyer (Editor)
  • Binding Papeback
  • Condition New
  • Pages 285
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 1st ed. 2022 edition omer Ser
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 6395352838
  • ISBN 9783031215339 / 3031215338
  • Weight 0.93 lbs (0.42 kg)
  • Dimensions 9.21 x 6.14 x 0.63 in (23.39 x 15.60 x 1.60 cm)
  • Category Computers - General Information
  • Quantity available 4

About Cold Books New York, United States

Biblio member since 2012

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Cold Books

Reader reviews for Algorithms for Big Data: DFG Priority Program 1736: 13201 (Lecture Notes in Computer Science)

From the publisher

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 rear 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.

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.

tracking-