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Machine Learning with the Elastic Stack

You're reading from   Machine Learning with the Elastic Stack Expert techniques to integrate machine learning with distributed search and analytics

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788477543
Length 304 pages
Edition 1st Edition
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Authors (2):
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Bahaaldine Azarmi Bahaaldine Azarmi
Author Profile Icon Bahaaldine Azarmi
Bahaaldine Azarmi
Rich Collier Rich Collier
Author Profile Icon Rich Collier
Rich Collier
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Toc

Table of Contents (12) Chapters Close

Preface Machine Learning for IT FREE CHAPTER Installing the Elastic Stack with Machine Learning Event Change Detection IT Operational Analytics and Root Cause Analysis Security Analytics with Elastic Machine Learning Alerting on ML Analysis Using Elastic ML Data in Kibana Dashboards Using Elastic ML with Kibana Canvas Forecasting ML Tips and Tricks Other Books You May Enjoy

How to understand the normal rate of occurrence

Imagine that you're troubleshooting a problem by looking at a particular log file. You see a line in the log that looks like the following:

18/05/2017 15:16:00 DB Not Updated [Master] Table

Unless you have some intimate knowledge about the inner workings of the application that created this log, you may not know whether the message is important. Having the database be Not Updated possibly sounds like a negative situation. However, if you knew that the application routinely writes this message, day in and day out, several hundred times per hour, then you would naturally realize that this message is benign and should possibly be ignored, because clearly the application works fine every day despite this message being written to the log file.

The problem, obviously, is one of human interpretation. Inspection of the text of the...

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