Title Details: | |
Association Rules |
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Authors: |
Kirkos, Efstathios |
Reviewer: |
Symeonidis, Panagiotis |
Description: | |
Abstract: |
This chapter presents association rules, considered the only data mining task that has been fully developed within the field. It begins with the basic concepts of association rules, such as support, confidence, and lift. The chapter then introduces the concept of frequent itemsets and the process of identifying them using the Apriori algorithm. Finally, it explains the method for generating association rules from the frequent itemsets.
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Technical Editors: |
Papavasileiou, Spyridon |
Type: |
Chapter |
Creation Date: | 2015 |
Item Details: | |
License: |
http://creativecommons.org/licenses/by-nc-nd/3.0/gr |
Handle | http://hdl.handle.net/11419/1235 |
Bibliographic Reference: | Kirkos, E. (2015). Association Rules [Chapter]. In Kirkos, E. 2015. Business Intelligence and Data Mining [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/1235 |
Language: |
Greek |
Is Part of: |
Business Intelligence and Data Mining |
Publication Origin: |
Kallipos, Open Academic Editions |