Abstract: An estimation system generates, from a value of a time series of an estimation object in a past period, a plurality of patterns of a transition of a value of the estimation object. Based on the plurality of generated patterns and a value of a time series of a factor in the past period, the estimation system specifies a dependency relationship between a transition pattern and a value of the factor and a transition pattern at a past (or future) time point and identifies a model in accordance with the specified dependency relationship. By inputting a value of a time series of the factor in a future period to the estimation model, the estimation system specifies a time series of a value in the future period of the estimation object using at least one transition pattern.

Abstract: A system generates a first tree structure representing a relation of a plurality of measurement data sets, and generates goodness-of-fit data based on at least a part of attribute data regarding one or more branch portions included in the first tree structure. The attribute data includes one or more attribute values at one or more points in time regarding each of one or more attribute items. The goodness-of-fit data includes goodness-of-fit for each attribute item regarding each branch portion. With regard to each attribute item for each branch portion, goodness-of-fit is a value calculated based on a parent node and two or more child nodes belonging to the relevant branch portion, and one or more attribute values corresponding to the relevant attribute item, and represents a degree that the relevant attribute item will fit as a base of a branch condition.