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 period profiles. According to an embodiment, a set
of time series data is received, where the set of time series data includes data spanning a …

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 …

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 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 …

Cloud computing is a model of distributed systems. This system allows users to access
virtual resources including the processing power, storage, applications, etc. Storage as a …

Techniques are described for characterizing and summarizing seasonal patterns detected
within a time series. A set of time series data is analyzed to identify a plurality of instances of …