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 …

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

Systems and methods for performing broadband profile management in a cable network are
disclosed. The method may include establishing a network connection with a cable modem …

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

Techniques for training and evaluating seasonal forecasting models are disclosed. In some
embodiments, a network service generates, in memory, a set of data structures that separate …

Systems and methods for unsupervised training and evalu ation of anomaly detection
models are described. In some embodiments, an unsupervised process comprises generat …

Techniques for generating distribution approximations with low memory footprints are
disclosed. In some embodiments, a system receives a first set of values that measure one or …

Techniques for efficiently generating aggregate distribution approximations are disclosed. In
some embodiments, a system receives a plurality of piecewise approximations that …