At 2pm on Feb 1st, 2019, in the Thomas Flowers room of Inria Saclay,
Fei Song (CEDAR) will present:
TITLE: Anomaly Detection and Explanation Discovery on Event Streams
ABSTRACT: As enterprise information systems are collecting event streams
from various sources, the ability of a system to automatically detect
anomalous events and further provide human readable explanations is of
paramount importance. In this position paper, we argue for the need of a
new type of data stream analytics that can address anomaly detection and
explanation discovery in a single, integrated system, which not only offers
increased business intelligence, but also opens up opportunities for
improved solutions. In particular, we propose a two-pass approach to
building such a system, highlight the challenges, and offer initial
directions for solutions
PAPER:
http://www.lix.polytechnique.fr/~yanlei.diao/publications/birte2018.pdf
