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2009
Association rules present one of the most versatile techniques for the analysis of binary data, with applications in areas as diverse as retail, bioinformatics, and sociology. In this chapter, the origin of association rules is discussed along with the functions by which association rules are traditionally characterised. Following the formal definition
Paul D. McNicholas, Yanchang Zhao
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Association rules present one of the most versatile techniques for the analysis of binary data, with applications in areas as diverse as retail, bioinformatics, and sociology. In this chapter, the origin of association rules is discussed along with the functions by which association rules are traditionally characterised. Following the formal definition
Paul D. McNicholas, Yanchang Zhao
+4 more sources
Association rules and decision rules
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2023AbstractDetermining association rules of significant interest is an essential task within data mining and statistical analysis. In this paper, we first precisely define the notion of association rule. For this, we introduce a general model, which includes the usual transaction model, and which allows many operations on the association rules.
Abdelkader Mokkadem +2 more
openaire +2 more sources
2023
Businesses are increasingly seeking to understand consumer behavior and purchasing habits in order to analyze the relationship between different products purchased by customers. By leveraging the association rule mining technique, businesses can identify complementary products and bundle them together to increase sales.
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Businesses are increasingly seeking to understand consumer behavior and purchasing habits in order to analyze the relationship between different products purchased by customers. By leveraging the association rule mining technique, businesses can identify complementary products and bundle them together to increase sales.
openaire +1 more source
Mining Causal Association Rules
2013 IEEE 13th International Conference on Data Mining Workshops, 2013Discovering causal relationships is the ultimate goal of many scientific explorations. Causal relationships can be identified with controlled experiments, but such experiments are often very expensive and sometimes impossible to conduct. On the other hand, the collection of observational data has increased dramatically in recent decades.
Jiuyong Li +5 more
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