Jennifer Lavergne

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 3

Top Topics

Mining Algorithm

Top Venues

Web Intelligence

Publications

Matthew Higginbotham, Ethan Franks, Pratchi Roy, Jennifer Lavergne
A Parallelized DynTARM Algorithm for the Discovery of Predictive Co-Occurrences Within Streaming Time Stamped Data. IEEE BigData (2021)
Jay Lewis, Ryan G. Benton, David Bourrie, Jennifer Lavergne
Enhancing Itemset Tree Rules and Performance. IEEE BigData (2019)
Shaaban Abbady, Cheng-Yuan Ke, Jennifer Lavergne, Jian Chen, Vijay V. Raghavan, Ryan Benton
Online mining for association rules and collective anomalies in data streams. IEEE BigData (2017)
Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan, Alaaeldin M. Hafez
DynTARM: An In-Memory Data Structure for Targeted Strong and Rare Association Rule Mining over Time-Varying Domains. Web Intelligence (2013)
Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan
TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure. ISMIS (2012)
Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan
Min-Max Itemset Trees for Dense and Categorical Datasets. ISMIS (2012)