Jennifer Lavergne

According to our database, Jennifer Lavergne authored at least 6 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

A Parallelized DynTARM Algorithm for the Discovery of Predictive Co-Occurrences Within Streaming Time Stamped Data.

Matthew Higginbotham, Ethan Franks, Pratchi Roy, Jennifer Lavergne

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Enhancing Itemset Tree Rules and Performance.

Jay Lewis, Ryan G. Benton, David Bourrie, Jennifer Lavergne

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Online mining for association rules and collective anomalies in data streams.

Shaaban Abbady, Cheng-Yuan Ke, Jennifer Lavergne, Jian Chen, Vijay V. Raghavan, Ryan Benton

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2013

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, Alaaeldin M. Hafez

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

2012

TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure.

Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

Min-Max Itemset Trees for Dense and Categorical Datasets.

Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012