Classification of time series data

A system comprising:

• one or more processors;
• and
• one or more computer-readable storage media storing program instructions which, when executed by the one or more processors, are configured to cause the one or more processors to perform a method comprising:
• graphing, from time series data, a time series data graph;
• iteratively segmenting the time series data graph into respective pluralities of subgraphs using respective segmentation schemes until a first plurality of subgraphs generated by a first segmentation scheme exhibits a similarity between respective subgraphs of the first plurality of subgraphs satisfying a similarity threshold, wherein the respective segmentation schemes comprise an equidistant segmentation scheme, a local extrema segmentation scheme, and a windowed segmentation scheme;
• and
• associating a classification to the time series data based on the first segmentation scheme, wherein the classification is indicative of one selected from a group consisting of:
• stationarity of the time series data, periodicity of the time series data, and trending of the time series data.

A computer program product comprising one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions comprising instructions configured to cause one or more processors to perform a method comprising:

• graphing, from time series data, a time series data graph;
• iteratively segmenting the time series data graph into respective pluralities of subgraphs using respective segmentation schemes until a first plurality of subgraphs generated by a first segmentation scheme exhibits a similarity between respective subgraphs of the first plurality of subgraphs satisfying a similarity threshold, wherein the respective segmentation schemes comprise an equidistant segmentation scheme, a local extrema segmentation scheme, and a windowed segmentation scheme;
• and
• associating a classification to the time series data based on the first segmentation scheme, wherein the classification is indicative of one selected from a group consisting of:
• stationarity of the time series data, periodicity of the time series data, and trending of the time series data.