zhangyouhua created SPARK-6386:
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Summary: add association rule mining algorithm to MLLib
Key: SPARK-6386
URL: https://issues.apache.org/jira/browse/SPARK-6386
Project: Spark
Issue Type: New Feature
Components: MLlib
Affects Versions: 1.3.0
Reporter: zhangyouhua
[~mengxr]
association rule algorithm is find frequent items which are association，while
given transition data set and minSupport and minConf. we can use FPGrowth
algorithm mining frequent pattern item，but can not explain each other. so we
should add association rule algorithm.
for example：
data set：
A B C
A C
A D
B E F
minSupport :0.5
minConf:0.5
the frequent items-> support
A ->0.75
B ->0.5
C ->0.5
A C ->0.5
use minSupport calculate minConf：
A -> C: support {A C}/support {A} = 0.67
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