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New Course
Concept
Association Rule Learning
Association rule learning
is a
machine learning method
used to discover
interesting relations
between variables in
large databases
, often applied in
market basket analysis
to identify
sets of items
that
frequently co-occur
in transactions. It involves
generating rules
that
highlight associations
, with a focus on metrics like support, confidence, and lift to
evaluate the strength
and
relevance of these rules
.
Relevant Fields:
Computer Science and Data Processing 67%
Probability and Statistics 33%
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