Abstract: An information processing device 1 includes a calculation unit 13 that calculates a degree of overlapping between a probability distribution of each probability value included in a row i or a column i of a semantic similarity matrix, and a probability distribution of respective probability values included in a row j or a column j (j?i) of the waveform similarity matrix as a degree of unexpectedness between an i-th word and a j-th word using the semantic similarity matrix in which elements are probability values in one row or one column of a semantic similarity between words of a plurality of words and the waveform similarity matrix in which elements are probability values in one row or one column of a waveform similarity between time-series data of time-series data related to the words.

Abstract: An API adapter generation device include a conversion rule calculation unit (16) configured to acquire a data model of an orchestrator (210) and an API specification to be managed and perform schema matching on the basis of a data schema of the orchestrator and a data schema of the API specification to calculate a model conversion rule, a call logic unit generation unit (19) configured to rewrite a source code of an API call logic unit 232 describing an API adapter execution logic on the basis of the model conversion rule, and an API adapter generation unit (21) configured to generate an API adapter to be managed on the basis of the API call logic unit in which the source code is rewritten.

Abstract: A device includes: a data set including multiple sets in which two pieces of time-series data are respectively recorded; an analysis unit that obtains evaluation values representing a relationship between the two pieces by different analysis methods for each set; a combination extraction unit that extracts combinations of the sets having different trends in change in the evaluation values associated with the analysis methods; a grouping unit that classifies the analysis methods according to the evaluation values for each combination, and records results associated with the sets; an inquiry unit that presents the time-series data of each set to a user, and inquires which sets have similar time-series data; a scoring unit that adds a score of the analysis method belonging to the group having a better evaluation value for the set determined to be more similar; and a selection unit that repeats each process and selects an analysis method.