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Produktbild: Network Algorithms, Data Mining, and Applications
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Network Algorithms, Data Mining, and Applications NET, Moscow, Russia, May 2018

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

23.02.2020

Abbildungen

XIII, 244 p. 65 illus., 43 illus. in color.

Herausgeber

Ilya Bychkov + weitere

Verlag

Springer

Seitenzahl

244

Maße (L/B/H)

24,1/16/2 cm

Gewicht

559 g

Auflage

20001 Auflage 1st edition 2020

Sprache

Englisch

ISBN

978-3-030-37156-2

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

23.02.2020

Abbildungen

XIII, 244 p. 65 illus., 43 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

244

Maße (L/B/H)

24,1/16/2 cm

Gewicht

559 g

Auflage

20001 Auflage 1st edition 2020

Sprache

Englisch

ISBN

978-3-030-37156-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Network Algorithms, Data Mining, and Applications
  •   Part I: Network algorithms.-  Obaid, H. B. and Trafalis, T: Fairness in Resource Allocation: Foundation and Applications.- Ignatov, D., Ivanova, P., Zamaletdinova, A. and Prokopyev, O: Searching for Maximum Quasi-Bicliques with Mixed Integer Programming.- Miasnikof, P., Pitsoulis, L., Bonner, A. J., Lawryshyn, Y. and Pardalos, P. M: Graph Clustering Via Intra-Cluster Density Maximization.- Shvydun, S.: Computational Complexity of SRIC and LRIC indices.- Sifaleras, A. and Konstantaras, I: A survey on variable neighborhood search methods for supply network inventory.-  Part II: Network Data Mining.-  Ananyeva, M. and Makarov, I: GSM: Inductive Learning on Dynamic Graph Embeddings.- Averchenkova, A., Akhmetzyanova, A., Sudarikov, K., Sulimov, P., Makarov I. and Zhukov, L. E:  Collaborator Recommender System based on Co-authorship Network Analysis.- Demochkin, K. and Savchenko, A: User Preference Prediction in a Set of Photos based on Neural Aggregation Network.- Makrushin , S.: Network structure and scheme analysis of the Russian language segment of Wikipedia.- Meshcheryakova, N., Shvydun, S. and Aleskerov, F: Indirect Influence Assessment in the Context of Retail Food Network.- Sokolova, A. D. and Savchenko, A. V: Facial clustering in video data using deep convolutional neural networks.-  Part III: Network Applications.-  Egamov, A.: The existence and uniqueness theorem for initial-boundary value problem of the same class of integro-differential PDEs.- Gradoselskaya, G., Karpov, I. and Shcheglova, T: Mapping of politically active groups on social networks of Russian regions (on the example of Karachay-Cherkessia Republic).- Mikhailova, O., Gradoselskaya, G. and Kharlamov, A: Social Mechanisms of the Subject Area Formation. The Case of “Digital Economy.- Shcheglova, T., Gradoselskaya, G. and Karpov, I: Methodology for measuring polarization of political discourse: case of comparing oppositional and patriotic discourse in online social networks.- Zaytsev, D., Khvatsky, G., Talovsky, N. and Kuskova, V: Network Analysis Methodology of Policy Actors Identification and Power Evaluation (the case of the Unified State Exam introduction in Russia).