Min-Max Itemset Trees for Dense and Categorical Datasets. - Jennifer Lavergne; Ryan G. Benton; Vijay V. Raghavan 001 (ISMIS, 2012)

TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure. - Jennifer Lavergne; Ryan G. Benton; Vijay V. Raghavan 001 (ISMIS, 2012)

DynTARM: An In-Memory Data Structure for Targeted Strong and Rare Association Rule Mining over Time-Varying Domains. - Jennifer Lavergne; Ryan G. Benton; Vijay V. Raghavan 001; Alaaeldin M. Hafez (Web Intelligence, 2013)

Online mining for association rules and collective anomalies in data streams. - Shaaban Abbady; Cheng-Yuan Ke; Jennifer Lavergne; Jian Chen 032; Vijay V. Raghavan 001; Ryan Benton (IEEE BigData, 2017)

Enhancing Itemset Tree Rules and Performance. - Jay Lewis; Ryan G. Benton; David Bourrie; Jennifer Lavergne (IEEE BigData, 2019)

A Parallelized DynTARM Algorithm for the Discovery of Predictive Co-Occurrences Within Streaming Time Stamped Data. - Matthew Higginbotham; Ethan Franks; Pratchi Roy; Jennifer Lavergne (IEEE BigData, 2021)