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Towards an adaptive algorithms selection on predicting the update interval for social media feeds.

, , , and . ASONAM, page 340-344. ACM, (2023)

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Towards an adaptive algorithms selection on predicting the update interval for social media feeds., , , and . ASONAM, page 340-344. ACM, (2023)Performance evaluation of GPU- and cluster-computing for parallelization of compute-intensive tasks., , and . Int. J. Web Inf. Syst., 17 (4): 377-402 (2021)AMPEL: An Approach for Machine-learning Based Prediction and Evaluation of the Learned Success of Social Media Posts., , and . FRUCT, page 139-147. IEEE, (2023)Die Verwertung von Online-Musiknutzungen - Herausforderungen für die IT., , , , and . HMD Prax. Wirtsch., 53 (1): 126-138 (2016)Performance evaluation of Apache Hadoop and Apache Spark for parallelization of compute-intensive tasks., , and . iiWAS, page 313-321. ACM, (2020)Klassisches Multi-threading versus MapReduce zur Parallelisierung rechenintensiver Tasks in der Amazon Cloud., and . HMD Prax. Wirtsch., 55 (2): 445-461 (2018)A Machine Learning Approach to Enterprise Matchmaking Using Multilabel Text Classification Based on Semi-structured Website Content., , , , , , and . iiWAS, volume 14416 of Lecture Notes in Computer Science, page 493-509. Springer, (2023)When she posts next? A comparison of refresh strategies for Online Social Networks., , , and . iiWAS, page 123-129. ACM, (2021)