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Algorithms for Big Data DFG Priority Program 1736 /

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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 fo...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bast, Hannah (Editor), Korzen, Claudius (Editor), Meyer, Ulrich (Editor), Penschuck, Manuel (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Lecture Notes in Computer Science, 13201
Subjects:
Computer networks .
Data structures (Computer science).
Information theory.
Computer science > Mathematics.
Algorithms.
Computer Communication Networks.
Data Structures and Information Theory.
Mathematics of Computing.
Design and Analysis of Algorithms.
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Table of Contents:
  • Algorithms for Large and Complex Networks Algorithms for Large-scale Network Analysis and the NetworKit Toolkit
  • Generating Synthetic Graph Data from Random Network Models
  • Sampling Efficiency for the Link Assessment Problem
  • A Custom Hardware Architecture for the Link Assessment Problem
  • Graph-based Methods for Rational Drug Design
  • Recent Advances in Practical Data Reduction
  • Skeleton-based Clustering by Quasi-Threshold Editing
  • The Space Complexity of Undirected Graph Exploration
  • Algorithms for Big Data and their Applications Scalable Cryptography
  • Distributed Data Streams
  • Energy-Efficient Scheduling
  • The GENO Software Stack
  • Laue Algorithms for Big Data Problems in de Novo Genome Assembly
  • Scalable Text Index Construction. Big Data, Scalability, Algorithms, Applications, Graphs, Networks, Parallelism, Distributed, Memory Hierarchy, Algorithm Engineering, Network Analysis, Random Graphs, Graph Clustering, Data Streams, Cryptography, Energy Efficiency, Text Indices.

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