Determination method and determination apparatus

A determination method comprising:

• obtaining, by a processor, a first time-series data set indicating first measured values obtained by a first device during a plurality of periods including a first period and a second period and a second time-series data set indicating second measured values obtained by a second device during the plurality of periods;
• performing, by the processor, first alignment to convert positions in a time domain of first measured values belonging to the second period, based on first measured values belonging to the first period;
• performing, by the processor, second alignment to convert positions in the time domain of second measured values belonging to the second period, based on a correspondence relationship between positions before and after conversion of the first alignment;
• performing, by the processor, correlation analysis between a third time-series data set obtained by converting the first time-series data set using the first alignment and a fourth time-series data set obtained by converting the second time-series data set using the second alignment;
• and
• determining, by the processor, existence or absence of an inclusion relationship, based on a result of the correlation analysis, the inclusion relationship indicating that the second measured values contain a component of the first measured values.

A determination apparatus comprising:

• a memory that stores therein a first time-series data set indicating first measured values obtained by a first device during a plurality of periods including a first period and a second period and a second time-series data set indicating second measured values obtained by a second device during the plurality of periods;
• and
• a processor that
• performs first alignment to convert positions in a time domain of first measured values belonging to the second period, based on first measured values belonging to the first period,
• performs second alignment to convert positions in the time domain of second measured values belonging to the second period, based on a correspondence relationship between positions before and after conversion of the first alignment,
• performs correlation analysis between a third time-series data set obtained by converting the first time-series data set using the first alignment and a fourth time-series data set obtained by converting the second time-series data set using the second alignment, and
• determines existence or absence of an inclusion relationship, based on a result of the correlation analysis, the inclusion relationship indicating that the second measured values contain a component of the first measured values.