Ashutosh Trivedi created SPARK-4038:
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Summary: Outlier Detection Algorithm for MLlib
Key: SPARK-4038
URL: https://issues.apache.org/jira/browse/SPARK-4038
Project: Spark
Issue Type: New Feature
Components: MLlib
Affects Versions: 1.2.0
Reporter: Ashutosh Trivedi
The aim of this JIRA is to discuss about which parallel outlier detection
algorithms can be included in MLlib.
The one which I am familiar with is Attribute Value Frequency (AVF). It scales
linearly with the number of data points and attributes, and relies on a single
data scan. It is not distance based and well suited for categorical data. In
original paper a Parallel version is also given, which is not complected to
implement.
Here is the Link for the paper
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4410382
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