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ORCIDAlgorithms for Big Data 2022
- Hannah Bast, Claudius Korzen, Ulrich Meyer
, Manuel Penschuck:
Algorithms for Big Data - DFG Priority Program 1736. Lecture Notes in Computer Science 13201, Springer 2022, ISBN 978-3-031-21533-9
Algorithms for Large and Complex Networks
- Eugenio Angriman, Alexander van der Grinten, Michael Hamann, Henning Meyerhenke, Manuel Penschuck:
Algorithms for Large-Scale Network Analysis and the NetworKit Toolkit. 3-20 - Ulrich Meyer, Manuel Penschuck:
Generating Synthetic Graph Data from Random Network Models. 21-38 - André Lucas Chinazzo, Christian de Schryver, Katharina A. Zweig, Norbert Wehn:
Increasing the Sampling Efficiency for the Link Assessment Problem. 39-56 - André Lucas Chinazzo, Christian de Schryver, Katharina A. Zweig, Norbert Wehn:
A Custom Hardware Architecture for the Link Assessment Problem. 57-75 - Andre Droschinsky, Lina Humbeck, Oliver Koch, Nils M. Kriege, Petra Mutzel, Till Schäfer:
Graph-Based Methods for Rational Drug Design. 76-96 - Faisal N. Abu-Khzam, Sebastian Lamm, Matthias Mnich, Alexander Noe, Christian Schulz, Darren Strash:
Recent Advances in Practical Data Reduction. 97-133 - Ulrik Brandes, Michael Hamann, Luise Häuser, Dorothea Wagner:
Skeleton-Based Clustering by Quasi-Threshold Editing. 134-151 - Yann Disser, Max Klimm:
The Space Complexity of Undirected Graph Exploration. 152-166
Algorithms for Big Data and Their Applications
- Dennis Hofheinz, Eike Kiltz:
Scalable Cryptography. 169-178 - Jannik Castenow, Björn Feldkord, Jonas Hanselle, Till Knollmann, Manuel Malatyali, Friedhelm Meyer auf der Heide:
Distributed Data Streams. 179-195 - Susanne Albers:
Energy-Efficient Scheduling. 196-212 - Joachim Giesen, Lars Kuehne, Sören Laue:
The GENO Software Stack. 213-228 - Anand Srivastav, Axel Wedemeyer, Christian Schielke, Jan Schiemann:
Algorithms for Big Data Problems in de Novo Genome Assembly. 229-251 - Timo Bingmann, Patrick Dinklage, Johannes Fischer, Florian Kurpicz, Enno Ohlebusch, Peter Sanders:
Scalable Text Index Construction. 252-284
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