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Algorithms for association rule mining — a general survey and comparison, , and . SIGKDD Explor. Newsl., 2 (1): 58--64 (2000)When Distribution is Part of the Semantics: A New Problem Class for Distributed Knowledge Discovery, , and . Proceedings of the PKDD 2001 Workshop on Ubiquitous Data Mining for Mobile and Distributed Environments, (2001)They introduce a scenario where the semantics is part of the modelling process. A common pit fall is to view the distribution as a techical issue, but that does usually not suffice. Their concept is called Semantically Distributed Knowledge Discovery. Distribution is an integral part of the problem when at least some of the features depends on the context..CPD: Crowd-based Pothole Detection., , , and . VEHITS, page 33-42. SciTePress, (2019)Is pushing constraints deeply into the mining algorithms really what we want?: an alternative approach for association rule mining, and . SIGKDD Explor. Newsl., 4 (1): 50--55 (June 2002)Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets., , , and . IEEE Trans. Intell. Transp. Syst., 22 (11): 7129-7144 (2021)Outlier Detection by Rareness Assumption., and . GI Jahrestagung (1), volume P-50 of LNI, page 244-248. GI, (2004)Interactivity Closes the Gap - Lessons Learned in an Automotive Industry Application., , , , , and . Data Mining for Business Applications, volume 218 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2010)Algorithms for Association Rule Mining---A General Survey and Comparison, , and . SIGKDD Explorations, 2 (1): 58--64 (2000)Mining Association Rules: Deriving a Superior Algorithm by Analysing Today's Approaches, , and . Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000, 1910, page 159--168. Springer, (2000)Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks., , , , and . CoRR, (2021)