EMCs estimate kth-order conditional probabilities online with O(m^k) updates per observation, and use Hellinger-distance drift detection plus a mode memory to discover and recognize switching behavioral modes in data streams.
An Architectural Framework of Elderly Healthcare Monitoring and Tracking through Wearable Sensor Technologies
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Evolving Markov Chains: Unsupervised Mode Discovery and Recognition from Data Streams
EMCs estimate kth-order conditional probabilities online with O(m^k) updates per observation, and use Hellinger-distance drift detection plus a mode memory to discover and recognize switching behavioral modes in data streams.