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Description

Teach Splunk to fill-in missing fields in your data!

Now you can have Splunk automatically predict missing or questionable fields.

  • Learn any field from any field or fields, including raw text.
  • Human entered data, like sales orders? Imagine predicting missing fields and detecting fields incorrectly filled out. A 4 story house with 600 square feet? I don't think it. No square footage listed for a house in 90024? Go with 1954.
  • Social media data, like twitter? Imagine predicting the politics, demographics, or gender based on zipcode, first name, etc.
  • Have a data set with missing values? Train a model in this app on the filled-in data and apply it to the data where values are missing.
  • Want to do sentiment analysis to determine how your customers feel? Take a small training set of emails, each marked up with "angry=10" or "angry=1", and have this app learn to recognize angry emails. Angry emails can get directly routed to a manager.

Versions and Release Notes

Version 0.7A (current version - updated Apr 29, 2013)
release notes:

* Fixes an important bug where field values were not tokenized, lowercases, or deduped.
* Adds several improvements in stability and scoring.
* update packaging

show older versions »
Version 0.51A (updated Dec 12, 2012)
release notes:

bug fixes. added icluster command.

Version 0.5A (updated Dec 10, 2012)

posted 10 Dec '12, 15:13

carasso's gravatar image

carasso ♦
4.1k321
accept rate: 51%

new version 29 Apr, 09:49


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Price: Free
Author: carasso
Version: 0.7A
Splunk compatibility: 5.x, 4.3, 4.2
Updated:
License: Apache 2

This app is not covered by any support agreements in place with Splunk. If you have questions about the installation or operation of this app, please contact the author.

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