M4: A Visualization-Oriented Time Series Data Aggregation

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Provided by: VLD Digital
Topic: Big Data
Format: PDF
Visual analysis of high-volume time series data is ubiquitous in many industries, including finance, banking, and discrete manufacturing. Contemporary, RDBMS-based systems for visualization of high-volume time series data have difficulty to cope with the hard latency requirements and high ingestion rates of interactive visualizations. Existing solutions for lowering the volume of time series data disregard the semantics of visualizations and result in visualization errors. In this paper, the authors introduce M4, an aggregation-based time series dimensionality reduction technique that provides error-free visualizations at high data reduction rates.
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