Anomaly detection device, anomaly detection method and computer program product

An anomaly detection method implemented by a computer, the method comprising:

• feature-calculating that performs
• calculating or referring to a first-type feature of each of plural pieces of training data, and calculating or referring to a second-type feature of target data for detection;
• first-type-selecting that performs, based on first-type attached information corresponding to each of the plural pieces of training data, selecting at least one or more of plural first-type features;
• and
• anomaly-degree-data-calculating that performs calculating anomaly degree data indicating a degree of anomaly in the target data for detection, using the selected first-type feature and using the second-type feature.

A computer program product having a non-transitory computer readable medium including an anomaly detection program, wherein the anomaly detection program, when executed by a computer, causes the computer to execute:

• feature-calculating that performs
• calculating or referring to a first-type feature of each of plural pieces of training data, and calculating or referring to a second-type feature of target data for detection;
• first-type-selecting that performs, based on first-type attached information corresponding to each of the plural pieces of training data, selecting at least one or more of plural first-type features;
• and
• anomaly-degree-data-calculating that performs calculating anomaly degree data indicating a degree of anomaly in the target data for detection, using the selected first-type feature and using the second-type feature.