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  • Search: subject:"Graph discovery"
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Subject
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Graph theory 2 Graphentheorie 2 AIS 1 Algorithm 1 Algorithmus 1 Artificial intelligence 1 Bottleneck 1 Bus transport 1 Busverkehr 1 Causal graph discovery 1 Causality analysis 1 Engpass 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Explainable AI 1 GTFS data 1 Genetic algorithm 1 Graph discovery 1 Kausalanalyse 1 Künstliche Intelligenz 1 Maritime traffic graph 1 Maritime traffic network 1 Route planning 1 Schifffahrt 1 Shapley value 1 Shapley-Wert 1 Shipping 1 Stadtverkehr 1 Theorie 1 Theory 1 Tourenplanung 1 Urban transit 1 Urban transport 1 Vehicle routing problem 1 Vessel routing 1 Waypoint discovery 1 congestion 1 cost sharing 1 graph discovery 1 shortest path 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 3
Author
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Abramowicz, Witold 1 Alon, Noga 1 Emek, Yuval 1 Feldman, Michal 1 Filipiak, Dominik 1 Liu, Yang 1 Ma, Zhenliang 1 Michalak, Michał 1 Qu, Xiaobo 1 Stróżyna, Milena 1 Tennenholtz, Moshe 1 Weçel, Krzysztof 1 Wu, Yuanyuan 1 Zhang, Qi 1
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Published in...
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Business & information systems engineering 1 Operations research 1 Transportation research : an international journal 1
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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Quantifying variable contributions to bus operation delays considering causal relationships
Zhang, Qi; Ma, Zhenliang; Wu, Yuanyuan; Liu, Yang; Qu, … - In: Transportation research : an international journal 194 (2025), pp. 1-18
Persistent link: https://www.econbiz.de/10015449458
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Extracting maritime traffic networks from AIS data using evolutionary algorithm
Filipiak, Dominik; Weçel, Krzysztof; Stróżyna, Milena; … - In: Business & information systems engineering 62 (2020) 5, pp. 435-450
Persistent link: https://www.econbiz.de/10012308091
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Economical graph discovery
Alon, Noga; Emek, Yuval; Feldman, Michal; Tennenholtz, Moshe - In: Operations research 62 (2014) 6, pp. 1236-1246
Persistent link: https://www.econbiz.de/10010471868
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