Association Rule Mining

Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical poin...

Full description

Saved in:
Bibliographic Details
Main Authors: WOON, Yew-Kwong, NG, Wee-Keong, LIM, Ee Peng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2005
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/835
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-1834
record_format dspace
spelling sg-smu-ink.sis_research-18342010-11-29T07:54:04Z Association Rule Mining WOON, Yew-Kwong NG, Wee-Keong LIM, Ee Peng Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical point of view, it is a semiautomatic technique to discover correlations among a set of variables. 2005-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/835 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Databases and Information Systems
Numerical Analysis and Scientific Computing
WOON, Yew-Kwong
NG, Wee-Keong
LIM, Ee Peng
Association Rule Mining
description Association Rule Mining (ARM) is concerned with how items in a transactional database are grouped together. It is commonly known as market basket analysis, because it can be likened to the analysis of items that are frequently put together in a basket by shoppers in a market. From a statistical point of view, it is a semiautomatic technique to discover correlations among a set of variables.
format text
author WOON, Yew-Kwong
NG, Wee-Keong
LIM, Ee Peng
author_facet WOON, Yew-Kwong
NG, Wee-Keong
LIM, Ee Peng
author_sort WOON, Yew-Kwong
title Association Rule Mining
title_short Association Rule Mining
title_full Association Rule Mining
title_fullStr Association Rule Mining
title_full_unstemmed Association Rule Mining
title_sort association rule mining
publisher Institutional Knowledge at Singapore Management University
publishDate 2005
url https://ink.library.smu.edu.sg/sis_research/835
_version_ 1770570733001375744