Structure of association rule classifiers: a review
By Koen Vanhoof, Benoît Depaire. 2010
18 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Algorithms & Complexity
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Cynthia Rudin
- Lesia Semenova
- Margo I. Seltzer
- Ş. Ertekin
- Chudi Zhong
- Zhi Chen
- Haiyang Huang
- Nicholas Larus-Stone
In Computational Theory and Mathematics
- Cynthia Rudin
- Ş. Ertekin
- Margo I. Seltzer
- Lesia Semenova
- Nicholas Larus-Stone
- Daniel Alabi
- Elaine Angelino
- Benjamin Letham
In Information Systems
- Cynthia Rudin
- Ş. Ertekin
- Margo I. Seltzer
- Lesia Semenova
- Nicholas Larus-Stone
- Daniel Alabi
- Elaine Angelino
- Benjamin Letham
In Algorithms & Complexity
- Cynthia Rudin
- Ş. Ertekin
- Chudi Zhong
- Margo I. Seltzer
- Lesia Semenova
- Zhi Chen
- Haiyang Huang
- Nicholas Larus-Stone
Citations in the corpus
- Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges (2021, methodology): “…(Rivest, 1987; Clark and Niblett, 1989; Liu et al., 1998; Li et al., 2001; Yin and Han, 2003; Sokolova et al., 2003; Marchand and Sokolova, 2005; Vanhoof and Depaire, 2010; Rudin et al., 2013; Clark and Boswell, 1991; Gaines and Compton, 1995; Cohen, 1995; Frank and Witten, 1998; Friedman and…”
- Learning Certifiably Optimal Rule Lists (2017, background): “In associative classification (Vanhoof and Depaire, 2010; Liu et al., 1998; Li et al., 2001; Yin and Han, 2003), classifiers are often formed greedily from the top down as rule lists, or they are formed by taking the simple union of pre-mined rules, whereby any observation that fits into any of the…”
- Learning customized and optimized lists of rules with mathematical programming (2018, methodology): “Reviews of associative classification techniques are provided by Thabtah [63], Rückert [56], Vanhoof and Depaire [66].”
- Scalable Bayesian Rule Lists (2016, neutral): “…& Shawe-Taylor, 2003; Anthony, 2005; Marchand & Sokolova, 2005; Rudin, Letham, & Madigan, 2013; Goessling & Kang, 2015), associative classification (Vanhoof & Depaire, 2010; Liu et al., 1998; Li, Han, & Pei, 2001; Yin & Han, 2003) and its Bayesian counterparts (McCormick, Rudin, & Madigan, 2012)…”
- 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).”