SDC, Data Science and Knowledge

Difference between revisions of "Clowdflows.unistra.fr"

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It is an open-source software. It can easily be extended. Our contributions are listed below.
 
It is an open-source software. It can easily be extended. Our contributions are listed below.
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== Main differences between the nodes ==
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* [http://clowdflows.org ClowdFlows.org] is hosted in Ljubljana, Slovenia. [http://clowdflows.unistra.fr ClowdFlows Unistra] is hosted in Strasbourg, France.
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* [http://clowdflows.unistra.fr Clowdflows Unistra] has a separated authentification and database.
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* Improvements of ClowdFlows and new algorithms implemented in Ljubljana are hosted first on [http://clowdflows.org ClowdFlows.org]. New algorithms implemented in Strasbourg are hosted first on [http://clowdflows.unistra.fr ClowdFlows Unistra].
  
 
==Our contributions==
 
==Our contributions==
  
==In the relational data mining package==
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===In the relational data mining package===
  
 
* the rule discovery tool, Tertius. See the example: [http://clowdflows.unistra.fr/workflow/77/ Tertius from files on the family example]
 
* the rule discovery tool, Tertius. See the example: [http://clowdflows.unistra.fr/workflow/77/ Tertius from files on the family example]

Revision as of 15:54, 14 January 2016

ClowdFlows.unistra.fr is the node of the ClowdFlows.org network in the university of Strasbourg.

What is ClowdFlows?

It is an online data science service: it enables the user to design and run data analysis workflows on a web browser, without installing any software. It provides lots of widgets from known libraries, e.g. Orange, SciKit, Weka. It can also call external web services. Processing is performed on our servers and can access data remotely from files or databases.

WorkFlows can be made public in order to include the URL in a publication to enable people to reproduce the experiments, and more generally to be used as tutorials. Examples are provided below.

It is an open-source software. It can easily be extended. Our contributions are listed below.

Main differences between the nodes

Our contributions

In the relational data mining package