Mining Compressed Time-Series Weblogs

Speaker:  Michalis Vlachos – Lausanne, Switzerland
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing

Abstract

I show techniques for compressing time-series data with very high fidelity. Then I introduce techniques for estimating the similarity between time-series in the compressed domain using optimization principles. The presented techniques offer high compression and accurate estimation of similarities in the compressed domain.

About this Lecture

Number of Slides:  60
Duration:  40 minutes
Languages Available:  English
Last Updated: 

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