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A note on maximizing the spread of influence in social networks

Even-Dar, Eyal; Shapira, Asaf - In: Internet and network economics : third international …, (pp. 281-286). 2007

Persistent link: https://www.econbiz.de/10003648811

Social media optimization : identifying an optimal strategy for increasing network size on Facebook

Ballings, Michel; Van den Poel, Dirk; Bogaert, Matthias - In: Omega : the international journal of management science 59 (2016), pp. 15-25

Persistent link: https://www.econbiz.de/10011439719

Oracle-based robust optimization via online learning

Ben-Tal, Aharon; Hazan, Elad; Koren, Tomer; Mannor, Shie - In: Operations research 63 (2015) 3, pp. 628-638

Persistent link: https://www.econbiz.de/10011292951

The Bayesian prophet : a low-regret framework for online decision making

Vera, Alberto; Banerjee, Siddhartha - In: Management science : journal of the Institute for … 67 (2021) 3, pp. 1368-1391

Persistent link: https://www.econbiz.de/10012505985

Benders decomposition for a node-capacitated Virtual Network Function placement and routing problem

Ljubić, Ivana; Mouaci, Ahlam; Perrot, Nancy; Gourdin, Éric - In: Computers & operations research : and their … 130 (2021), pp. 1-15

Persistent link: https://www.econbiz.de/10012506540

Online allocation and pricing : constant regret via Bellman inequalities

Vera, Alberto; Banerjee, Siddartha; Gurvich, Itai - In: Operations research 69 (2021) 3, pp. 821-840

Persistent link: https://www.econbiz.de/10012546874

Efficient online linear optimization with approximation algorithms

Garber, Dan - In: Mathematics of operations research 46 (2021) 1, pp. 204-220

Persistent link: https://www.econbiz.de/10012498112

A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management

Dahou, Abdelghani; Mabrouk, Alhassan; Ewees, Ahmed A.; … - In: Technological forecasting & social change : an … 192 (2023), pp. 1-14

Persistent link: https://www.econbiz.de/10014444057

A modified Bayesian boosting algorithm with weight-guided optimal feature selection for sentiment analysis

Nayak, Smitha; Savita; Sharma, Yogesh Kumar - In: Decision analytics journal 8 (2023), pp. 1-13

Sentiment analysis is crucial in understanding and analyzing public opinions, feedback, and social media data. In this study, we propose a modified Bayesian Boosting algorithm with weight-guided optimal feature selection for sentiment analysis. The goal is to improve the accuracy and efficiency...

Persistent link: https://www.econbiz.de/10014517151

Online dynamic submodular optimization

Lesage-Landry, Antoine; Pallage, Julien - 2023

Persistent link: https://www.econbiz.de/10014304605