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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

Preparing data for anomaly detection analysis

To make an effective, representative dashboard with different visualizations, we first need to download, ingest, and analyze a dataset that exists in the public domain.

We've chosen a very old dataset from NASA that you can obtain at http://ita.ee.lbl.gov/html/contrib/NASA-HTTP.html. The dataset contains HTTP access logs for the NASA website from between July 1, 1995 and August 31, 1995. It's almost a fossil dataset at the time of writing this book, it's nearly 24 years old!

However, the information in the logs is timeless and is perfect for what we want to achieve here. First, let's get an understanding of the dataset.

The dataset

In this dataset, each document...

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