BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams
Supporting sequential pattern mining from data streams is nowadays a relevant problem in
the area of data stream mining research. Actual proposals available in the literature are …
the area of data stream mining research. Actual proposals available in the literature are …
A geometric approach for mining sequential patterns in interval-based data streams
Almost all activities observed in nowadays applications are correlated with a timing
sequence. Users are mainly looking for interesting sequences out of such data. Sequential …
sequence. Users are mainly looking for interesting sequences out of such data. Sequential …
Stochastic time series representation for interval pattern mining via gaussian processes
F Berns, C Beecks - Proceedings of the 2021 SIAM International …, 2021 - SIAM
Trends, periodicities and local variations are among the main recognizable patterns in time
series data. While humans are able to quickly explore the superimposition of such patterns …
series data. While humans are able to quickly explore the superimposition of such patterns …
Towards a Hierarchical Approach for Outlier Detection in Industrial Production Settings
In the context of Industry 4.0, the degree of cross-linking between machines, sensors, and
production lines increases rapidly. However, this trend also offers the potential for the …
production lines increases rapidly. However, this trend also offers the potential for the …
Using Human Mobility Patterns to Forecast Outliers in Citizen Complaints Data
V Bolta, M Hassani - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Cities have been growing ever larger especially in the most recent decades. As
neighborhoods and boundaries of cities are expanding, the resident-service related …
neighborhoods and boundaries of cities are expanding, the resident-service related …