Algorithms for Big Data : : DFG Priority Program 1736 / / edited by Hannah Bast, Claudius Korzen, Ulrich Meyer, Manuel Penschuck.
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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| Superior document: | Lecture Notes in Computer Science, 13201 |
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| TeilnehmendeR: | |
| Place / Publishing House: | Cham : : Springer Nature Switzerland :, Imprint: Springer,, 2022. |
| Year of Publication: | 2022 |
| Edition: | 1st ed. 2022. |
| Language: | English |
| Series: | Lecture Notes in Computer Science,
13201 |
| Physical Description: | 1 online resource (296 pages) |
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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.