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From "Till Rohrmann (JIRA)" <j...@apache.org>
Subject [jira] [Created] (FLINK-1727) Add decision tree to machine learning library
Date Wed, 18 Mar 2015 13:40:38 GMT
Till Rohrmann created FLINK-1727:

             Summary: Add decision tree to machine learning library
                 Key: FLINK-1727
                 URL: https://issues.apache.org/jira/browse/FLINK-1727
             Project: Flink
          Issue Type: Improvement
          Components: Machine Learning Library
            Reporter: Till Rohrmann

Decision trees are widely used for classification and regression tasks. Thus, it would be
worthwhile to add support for them to Flink's machine learning library. 

A streaming parallel decision tree learning algorithm has been proposed by Ben-Haim and Tom-Tov
[1]. This can maybe adapted to a batch use case as well. [2] contains an overview of different
techniques of how to scale inductive learning algorithms up. A presentation of Spark's MLlib
decision tree implementation can be found in [3].

[1] [http://www.jmlr.org/papers/volume11/ben-haim10a/ben-haim10a.pdf]
[2] [http://citeseerx.ist.psu.edu/viewdoc/download?doi=]
[3] [http://spark-summit.org/wp-content/uploads/2014/07/Scalable-Distributed-Decision-Trees-in-Spark-Made-Das-Sparks-Talwalkar.pdf]

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