AMIC is an adaptive mutual information method for identifying and ordering multi-scale temporal correlations in big time series data, with streaming support and Spark implementation for scalability.
Ana ly sing real world data streams w ith spatio-temporal correlations: Entropy vs. pearson correlation
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AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data -- Accepted Version
AMIC is an adaptive mutual information method for identifying and ordering multi-scale temporal correlations in big time series data, with streaming support and Spark implementation for scalability.