Frequent itemset mining, and association rules

Date
2005
Authors
Imberman, S.
Tansel, Abdullah Uz
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Publisher
IGI Global
Volume
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Pages
197 - 203
Language
English
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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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Book Title
Encyclopedia of knowledge management
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Citation
Published Version (Please cite this version)