Association Rules and Statistics

Association Rules and Statistics

Author: 
Cadot, Martine
Place: 
Hershey
Publisher: 
IGI Global
Date published: 
2008
Responsibility: 
Maj, Jean-Baptiste, jt.author
Ziadé, Tarek, jt.author
Editor: 
Wang, John
Journal Title: 
Encyclopedia of Data Warehousing and Mining, Second Edition
Source: 
Encyclopedia of Data Warehousing and Mining, Second Edition
Subject: 
Abstract: 

A manager would like to have a dashboard of his company without manipulating data. Usually, statistics have solved this challenge, but nowadays, data have changed (Jensen, 1992); their size has increased, and they are badly structured (Han & Kamber, 2001). A recent method—data mining—has been developed to analyze this type of data (Piatetski-Shapiro, 2000). A specific method of data mining, which fits the goal of the manager, is the extraction of association rules (Hand, Mannila & Smyth, 2001). This extraction is a part of attribute-oriented induction (Guyon & Elisseeff, 2003). The aim of this paper is to compare both types of extracted knowledge: association rules and results of statistics.

CITATION: Cadot, Martine. Association Rules and Statistics edited by Wang, John . Hershey : IGI Global , 2008. Encyclopedia of Data Warehousing and Mining, Second Edition - Available at: https://library.au.int/association-rules-and-statistics