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Discovery of Crime Event Sequences with Constricted Spatio-Temporal Sequential Patterns
We demonstrate that the set of CSTS patterns is a concise representation of all spatio-temporal sequential patterns that can be discovered in a given dataset.
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
The proposed OeSNN-UAD detector was experimentally compared with state-of-the-art unsupervised and semi-supervised detectors of anomalies in stream data from the Numenta Anomaly Benchmark and Yahoo Anomaly Datasets repositories.
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