Andrew Emmott

According to our database, Andrew Emmott authored at least 4 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2020

Discovering Anomalies by Incorporating Feedback from an Expert.

Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott

ACM Trans. Knowl. Discov. Data, 2020

2016

Incorporating Expert Feedback into Active Anomaly Discovery.

Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Systematic Construction of Anomaly Detection Benchmarks from Real Data.

Andrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong

CoRR, 2015

2013

Detecting insider threats in a real corporate database of computer usage activity.

Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013