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When Distribution is Part of the Semantics: A New Problem Class for Distributed Knowledge Discovery, , и . 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..Algorithms for association rule mining — a general survey and comparison, , и . SIGKDD Explor. Newsl., 2 (1): 58--64 (2000)Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets., , , и . IEEE Trans. Intell. Transp. Syst., 22 (11): 7129-7144 (2021)Is pushing constraints deeply into the mining algorithms really what we want?: an alternative approach for association rule mining, и . SIGKDD Explor. Newsl., 4 (1): 50--55 (июня 2002)CPD: Crowd-based Pothole Detection., , , и . VEHITS, стр. 33-42. SciTePress, (2019)Outlier Detection by Rareness Assumption., и . GI Jahrestagung (1), том P-50 из LNI, стр. 244-248. GI, (2004)Algorithms for Association Rule Mining---A General Survey and Comparison, , и . SIGKDD Explorations, 2 (1): 58--64 (2000)Interactivity Closes the Gap - Lessons Learned in an Automotive Industry Application., , , , , и . Data Mining for Business Applications, том 218 из Frontiers in Artificial Intelligence and Applications, IOS Press, (2010)Mining Association Rules: Deriving a Superior Algorithm by Analysing Today's Approaches, , и . Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000, 1910, стр. 159--168. Springer, (2000)Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks., , , , и . CoRR, (2021)