Detecting correlation among sets of time series data

A device, comprising:

• one or more memories;
• and
• one or more processors, coupled to the one or more memories, to:
• receive time series data from one or more data sources;
• group the time series data based on multiple classifications included in the time series data;
• generate a respective time series chart for the multiple classifications;
• remove a subset of the time series data based on an amount of randomness, detected in the respective time series chart for the multiple classifications, satisfying a threshold;
• randomly select a pair of respective time series charts and a correlation detection technique of a plurality of correlation detection techniques,
• wherein the correlation detection technique is associated with detecting a correlation of the pair of respective time series charts;
• determine a score for the pair of respective time series charts based on the correlation of the pair of respective time series charts,
• wherein the score indicates an extent to which the pair of respective time series charts is correlated with each other;
• and
• perform one or more actions after determining the score for the pair of respective time series charts.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive time series data from one or more data sources;
• pre-process the time series data to generate a respective time series chart for multiple classifications included in the time series data;
• randomly select a pair of respective time series charts and a correlation detection technique, of a plurality of correlation detection techniques, after pre-processing the time series data;
• determine a correlation for the pair of respective time series charts based on using the correlation detection technique;
• determine a score for the pair of respective time series charts based on the correlation of the pair of respective time series charts,
• wherein the score indicates an extent to which the pair of respective time series charts is correlated with each other;
• and
• process one or more additional pairs of respective time series charts, after determining the score for the pair of respective time series charts, based on at least one of the score or a value of a counter,
• wherein the value of the counter indicates a quantity of pairs of respective time series charts that have been processed.