Description
Network Algorithms, Data Mining, and Applications, 1st ed. 2020
NET, Moscow, Russia, May 2018
Springer Proceedings in Mathematics & Statistics Series, Vol. 315
Coordinators: Bychkov Ilya, Kalyagin Valery A., Pardalos Panos M., Prokopyev Oleg
Language: EnglishSubject for Network Algorithms, Data Mining, and Applications:
Keywords
Network algorithms; Clusters; Information Theory; graph dissimilarities; Metaheuristics; Large-Scale Graph Clustering; Traveling Salesman Problem; Link Partitioning; Partitioning Around Medoids; modeling clique relaxations; Integer programming techniques; Network Science Applications; Large-Scale Graph Processing Systems; Network data mining; Machine Learning Analysis; Gaussian graphical model; combinatorics
Publication date: 02-2021
Support: Print on demand
Publication date: 02-2020
244 p. · 15.5x23.5 cm · Hardback
Description
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Introduces state-of-the-art techniques in computer science and network analysis
Features new theoretical models and approaches for network analysis with new efficient tools
Presents a range of application for network models and network analysis