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Implementing Splunk 7, Third Edition

You're reading from   Implementing Splunk 7, Third Edition Effective operational intelligence to transform machine-generated data into valuable business insight

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Length 576 pages
Edition 3rd Edition
Languages
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (15) Chapters Close

Preface 1. The Splunk Interface FREE CHAPTER 2. Understanding Search 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Advanced Search Examples 7. Extending Search 8. Working with Apps 9. Building Advanced Dashboards 10. Summary Indexes and CSV Files 11. Configuring Splunk 12. Advanced Deployments 13. Extending Splunk 14. Machine Learning Toolkit

The toolkit workbench

So once again, the Splunk Machine Learning Toolkit attempts to simplify or streamline the process of applying machine learning techniques to your Splunk-collected data.

This version 3.1.0 (of the app) provides showcase examples organized by the type of analytic using:

  • Classification (predicting a yay or nay)
  • Regression
  • Anomaly detection
  • Outlier detection
  • Other ways

The showcases demonstrate how to apply the aforementioned machine learning methods to a sample of datasets (also downloaded as part of the app) for you to use as a starting point for building your own analysis.

Once you have launched the Splunk Machine Learning Toolkit app, you will see the Showcase page:

From the Splunk Showcase page, you can click on any of showcase examples, each of which will open the appropriate assistant, guiding you through the process of applying it to data.

If you click...

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