Survey on Frequent Pattern Mining

By Bart Goethals. 2003

316 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Cynthia Rudin
2. Allison Chang
3. Abhradeep Thakurta
4. Adam D. Smith
5. John C. Duchi
6. Yu-Xiang Wang
7. Kamalika Chaudhuri
8. Dimitris J. Bertsimas

Citations in the corpus

• A Survey of Sequential Pattern Mining (2017, methodology): “Besides, even when binary files are released it has been noted in studies such as the one of Goethal [43] that the performance of pattern mining algorithms may vary greatly depending on the compiler used and the machine architecture used for running performance comparison.”
• A fast APRIORI implementation (2003, background): “In [12] it was showed that it is advantageous to recode frequent items according to ascending order of their frequencies (i.”
• Discovering frequent patterns in sensitive data (2010, background): “see [16, 13, 26, 23]) that deals with FIM and its variants in transactional data sets.”
• ORC: Ordered Rules for ClassificationA Discrete Optimization Approach to Associative Classification (2012, methodology): “…Apriori method by Agrawal and Srikant [1994], researchers have proposed many algorithms for frequent pattern mining that apply heuristic techniques to traverse the search space, which grows exponentially with the number of items in the dataset [Han et al., 2007, Hipp et al., 2000, Goethals, 2003].”