A review of associative classification mining

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An optimization approach to learning falling rule lists (2017, background): “A falling rule list, whose form was first proposed by Wang and Rudin (2015), is a type of model that serves this purpose.”
Falling Rule Lists (2014, neutral): “|{ y n } ; { x n } , H ).”
Phishing detection based Associative Classification data mining (2014, unknown): “The main reason behind producing the additional useful information is that AC utilises association rule discovery methods in the training phase (Thabtah, 2007).”
Learning theory analysis for association rules and sequential event prediction (2013, methodology): “When a set of rules is used to form a classifier, this is called “associative classification” (see, for instance, Liu et al., 1998; Thabtah, 2007; Vanhoof and Depaire, 2010).”
A Survey on Malware Detection Using Data Mining Techniques (2017, background): “Associative Classiﬁer (AC): Associative Classiﬁer (AC) utilizes the association mining techniques to construct classiﬁers [Thabtah 2007].”