11: Association-rule mining
Abstract
The chapter underlines the importance of association rule mining methods in the field of Data Science. Association rule mining provides insightful analysis of market-basket data from retail, e-commerce, science, and more. The first section of the chapter examines the core procedures of association rule mining, including candidate creation, support count computation, and difficulties in producing frequent itemsets. These common itemsets are essential for identifying trends and correlations in large datasets. The creation of quantitative association rules is one of the important topics covered in the chapter. This is especially helpful in situations handling relational databases containing quantitative attributes. ...
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