Abstract
This chapter recalls some of the essential concepts related to associ- ation rule mining, which will be utilized throughout the book. Some existing research into the improvement of association rule mining techniques is also introduced to clarify the process. The chapter is organized as follows. In Section 2.1, we begin by outlining certain necessary basic concepts. Some measurements of association rules are discussed in Section 2.2. In Section 2.3, we introduce the Apriori algorithm. This algorithm searches large (or frequent) itemsets in databases. Section 2.4 introduces some research into mining association rules. Finally, we summarize this chapter in Section 2.5.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
(2002). Association Rule. In: Zhang, C., Zhang, S. (eds) Association Rule Mining. Lecture Notes in Computer Science(), vol 2307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46027-6_2
Download citation
DOI: https://doi.org/10.1007/3-540-46027-6_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43533-4
Online ISBN: 978-3-540-46027-5
eBook Packages: Springer Book Archive