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What is Quantitative Association Rules

Encyclopedia of Knowledge Management, Second Edition
Shows associations with numeric and categorical data. Quantitative rules would express associations such as: Age: 30 to 39 and Owns car = yes -> Median Income = 40,000
Published in Chapter:
Frequent Itemset Mining and Association Rules
Susan Imberman (City University of New York, USA) and Abdullah Uz Uz Tansel (Bilkent University, Turkey)
Copyright: © 2011 |Pages: 11
DOI: 10.4018/978-1-59904-931-1.ch033
Abstract
With the advent of mass storage devices, databases have become larger and larger. Point-of-sale data, patient medical data, scientific data, and credit card transactions are just a few sources of the ever-increasing amounts of data. These large datasets provide a rich source of useful information. Knowledge Discovery in Databases (KDD) is a paradigm for the analysis of these large datasets. KDD uses various methods from such diverse fields as machine learning, artificial intelligence, pattern recognition, database management and design, statistics, expert systems, and data visualization.
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