Papers Time Series Streams
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INSTANCE – the Italian seismic dataset for machine learning
The Italian earthquake waveform data are collected here in a dataset suited for machine learning analysis (ML) applications. The dataset consists of nearly 1.2 million three-component (3C) waveform traces from about 50 0…
BIG-bench Machine LearningSeismic DetectionTime Series StreamsORBITS: Online Recovery of Missing Blocks in Multiple Time Series Streams
With the emergence of the Internet of Things (IoT), time series streams have become ubiquitous in our daily life. Recording such data is rarely a perfect process, as sensor failures frequently occur, yielding occasional …
ImputationMultivariate Time Series ImputationTime SeriesTime Series Analysis+1CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding
Time series streams are ubiquitous in many application domains, e.g., transportation, network monitoring, autonomous vehicles, or the Internet of Things (IoT). Transmitting and storing large amounts of such fine-grained …
Autonomous VehiclesData CompressionDictionary LearningLossy-Compression Artifact Reduction+4Particle swarm optimization for time series motif discovery
Efficiently finding similar segments or motifs in time series data is a fundamental task that, due to the ubiquity of these data, is present in a wide range of domains and situations. Because of this, countless solutions…
Time SeriesTime Series AnalysisTime Series Streams