Abnormality detection support device, abnormality detection support method, and program

A system analysis support method, performed by a computer, comprising:

• obtaining time series data measured in a system that is to be analyzed,
• calculating a transition of an abnormality degree representing an overall abnormality degree of the system that is to be analyzed, using a predictive model generated so that, with 2 or more time series data items as input, values representing a relationship between said 2 or more time series data items are outputted, and the time series data items;
• receiving specification of a learning interval that is a part of the time series data from a user and setting the learning interval according to the specification for selecting and presenting time series data items;
• and
• selecting and presenting time series data items as a representative index indicating change similar to transition of overall abnormality degree of the system that is to be analyzed, from among said time series data items.

A non-transitory computer-readable recording medium storing thereon a program that when executed by a computer performs a method comprising:

• obtaining time series data measured in a system that is to be analyzed,
• calculating a transition of an abnormality degree representing an overall abnormality degree of the system that is to be analyzed, using a predictive model generated so that, with 2 or more time series data items as input, values representing a relationship between said 2 or more time series data items are outputted, and the time series data items;
• receiving specification of a learning interval that is a part of the time series data from a user and setting the learning interval according to the specification for selecting and presenting time series data items;
• and
• selecting and presenting time series data items as a representative index indicating change similar to transition of overall abnormality degree of the system that is to be analyzed, from among said time series data items.