The siddhi-execution-markov extension is an extension to Siddhi that allows abnormal patterns relating to user activity to be detected when carrying out real time analysis.
Find some useful links below:
Latest API Docs is 5.0.1.
Using the extension in WSO2 Stream Processor
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You can use this extension in the latest WSO2 Stream Processor that is a part of WSO2 Analytics offering, with editor, debugger and simulation support.
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This extension is shipped by default with WSO2 Stream Processor, if you wish to use an alternative version of this extension you can replace the component jar that can be found in the
<STREAM_PROCESSOR_HOME>/libdirectory.
Using the extension as a java library
- This extension can be added as a maven dependency along with other Siddhi dependencies to your project.
<dependency>
<groupId>org.wso2.extension.siddhi.execution.markov</groupId>
<artifactId>siddhi-execution-markov</artifactId>
<version>x.x.x</version>
</dependency>
| Branch | Build Status |
|---|---|
| master |
- markovChain (Stream Processor)
The Markov Models extension allows abnormal patterns relating to user activity to be detected when carrying out real time analysis. There are two approaches to using this extension.
1. Input an existing Markov matrix as a csv file. It should be an N x N matrix and the first row should include state names.2. Use a reasonable amount of incoming data to train a Markov matrix and then use it to create further notifications.
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Please report issues at GitHub Issue Tracker.
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Send your contributions as pull requests to master branch.
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Post your questions with the "Siddhi" tag in Stackoverflow.
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Siddhi developers can be contacted via the mailing lists:
Developers List : dev@wso2.org
Architecture List : architecture@wso2.org
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We are committed to ensuring support for this extension in production. Our unique approach ensures that all support leverages our open development methodology and is provided by the very same engineers who build the technology.
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For more details and to take advantage of this unique opportunity contact us via http://wso2.com/support/.