Algorithms for Big Data : DFG Priority Program 1736 /
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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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2022.
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| Edition: | 1st ed. 2022. |
| Series: | Lecture Notes in Computer Science,
13201 |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
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.