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Title Details:
Association Rules
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.
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