—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...
Badrish Chandramouli, Jonathan Goldstein, Songyun ...
— The advance of object tracking technologies leads to huge volumes of spatio-temporal data collected in the form of trajectory data stream. In this study, we investigate the pro...
Lu An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice...
Swarm testing is a novel and inexpensive way to improve the diversity of test cases generated during random testing. Increased diversity leads to improved coverage and fault detec...
Alex Groce, Chaoqiang Zhang, Eric Eide, Yang Chen,...
—The widespread deployment of Automated Fingerprint Identification Systems (AFIS) in law enforcement and border control applications has heightened the need for ensuring that the...
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...