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An Associative Memory for Association Rule Mining
2007 International Joint Conference on Neural Networks, 2007Association rule mining is a thoroughly studied problem in data mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the use of novel data structures to represent the knowledge discovered, the transformation of the input data to speed up the process, the exploitation of the itemset properties ...
Vicente Oswaldo Baez Monroy +1 more
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Ordinal Association Rules towards Association Rules
2003Intensity of inclination, an objective rule-interest measure, allows us to extract implications on databases without having to go through the step of transforming the initial set of attributes into binary attributes, thereby avoiding obtaining a prohibitive number of rules of little significance with many redundancies.
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Association Rules Using Rough Set and Association Rule Methods
2002With the wide applications of computers, database technologies and automated data collection techniques, large amount of data have been continuously collected into databases. It creates great demands for analyzing such data and turning them into useful knowledge. Therefore, it is necessary and interesting to examine how to extract hidden information or
Defit Sarjon, Mohd. Noor Md. Sap
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Association Rule Hiding Methods
WIREs Data Mining and Knowledge Discovery, 2009The enormous expansion of data collection and storage facilities has created an unprecedented increase in the need for data analysis and processing power. Data mining has long been the catalyst for automated and sophisticated data analysis and interrogation.
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Representative association rules
1998Discovering association rules between items in a large database is an important database mining problem. The number of association rules may be huge. In this paper, we define a cover operator that logically derives a set of association rules from a given association rule.
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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
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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