Learning Latent Events from Network Message Logs: A Decomposition Based Approach

04/10/2018

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by Siddhartha Satpathi, et al.

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University of Illinois at Urbana-Champaign

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Att

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In this communication, we describe a novel technique for event mining using a decomposition based approach that combines non-parametric change-point detection with LDA. We prove theoretical guarantees about sample-complexity and consistency of the approach. In a companion paper, we will perform a thorough evaluation of our approach with detailed experiments.

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Learning Latent Events from Network Message Logs: A Decomposition Based Approach

Change point detection based on method of moment estimators

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Learning Latent Events from Network Message Logs: A Decomposition Based Approach

Related Research

Change point detection based on method of moment estimators

Change-point detection in the covariance kernel of functional data using data depth

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