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Scalable Recovery of Missing Blocks in Time Series With High and Low Cross-correlations

Khayati, Mourad ; Cudré-Mauroux, Philippe ; Boehlen, Michael

In: Knowledge and Information Systems, 2020, vol. 62, p. 2257-2280

Missing values are very common in real-world data including time-series data. Failures in power, communication or storage can leave occasional blocks of data missing in multiple series, affecting not only real-time monitoring but also compromising the quality of data analysis. Traditional recovery (imputation) techniques often leverage the correlation across time series to recover missing...

On the Emergence of the Subject

Zittoun, Tania

In: Integrative Psychological and Behavioral Science, 2012, vol. 46, no. 3, p. 259-273