Abstract: A processing device 1 includes: a calculation unit 22 that calculates deviation degrees of two items of time-series data among a plurality of items of time-series data through a plurality of respective analysis methods and calculates an evaluation value of variations in the deviation degrees calculated through the plurality of respective analysis methods for combinations of two items of time-series data among the plurality of items of time-series data; and an extraction unit 23 that extracts combinations of two items of time-series data for which the evaluation value satisfies a predetermined condition.

Abstract: An information processing device 1 includes an antecedence quantification unit 11 configured to obtain a scalar vij that quantifies a cross-correlation function between time-series data of items, a similarity calculation unit 12 configured to obtain a semantic similarity uij indicating semantic closeness between the items, and an unexpectedness calculation unit 13 configured to obtain unexpectedness of a combination of the items on the basis of a position of a point indicating the combination of the items on a plane having the scalar vij and the semantic similarity uij as axes.

Abstract: A syntax analysis unit (12) that analyzes a plurality of source codes and classifies them into a plurality of patterns, a preprocessing unit (13) that abstracts each of the patterns classified by the syntax analysis unit (12), and an alignment derivation unit (15) that derives an alignment between the source codes for each of the abstracted patterns included in each of the source codes are included. Further, a visualization unit (16) that generates an image indicating the alignment in a predetermined format, and a display unit (17) that displays the image indicating the alignment are included.

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: 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.

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.