Abstract Systems and methods for trending patterns within a set of time-series data are
described. In one or more embodiments, a set of one or more groups of data points that are …

Techniques are described for automatically detecting and accommodating state changes in
a computer-generated fore cast. In one or more embodiments, a representation of a time …

Techniques are described for generating seasonal forecasts. According to an embodiment,
a set of time-series data is associated with one or more classes, which may include a first …

Abstract Systems and methods for performing unsupervised baselining and anomaly
detection using time-series data are described. In one or more embodiments, a baselining …

Techniques are described for generating predictive alerts. In one or more embodiments, a
seasonal model is generated, the seasonal model representing one or more seasonal pat …

Techniques are described for modeling variations in corre lation to facilitate analytic
operations. In one or more embodiments, at least one computing device receives first metric …

An embodiment of the invention may include a method, computer program product and
computer system for multi-modal anomaly detection. The method, computer program product …

A monitoring device executes: aggregating a number of messages for each type of message
transmitted or received at nodes using test results; classifying the respective messages into …

BACKGROUND In recent years, there has been an exponential growth in the
implementation and use of network computing systems Such as cloud computing platforms …

Techniques are disclosed for summarizing, diagnosing, and correcting the cause of
anomalous behavior in computing systems. In some embodiments, a system identifies a …