Data analysis system and method

A data analysis method, wherein:

• a computer generates a first tree structure which represents a relation of a plurality of measurement data sets according to at least a part of input measurement data;
• each of the plurality of measurement data sets is a data set including values measured at each of one or more points in time;
• with regard to each of a plurality of nodes in the first tree structure,
• a relevant node is a node based on one or more measurement data sets corresponding to one or more nodes including the relevant node;
• the one or more nodes include the relevant node and, if there are nodes that are lower than the relevant node, include those lower nodes;
• the computer generates goodness-of-fit data based on at least a part of input 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 regarding each of one or more attribute items regarding each of the one or more branch portions;
• with regard to each of the one or more attribute items for each branch portion, goodness-of-fit is a value calculated based on a parent node and two or more child nodes belonging to a relevant branch portion, and one or more attribute values corresponding to a relevant attribute item, and represents a degree that the relevant attribute item will fit as a base of a branch condition;
• the computer generates a second tree structure as a tree structure in which a branch condition decided based on the goodness-of-fit data is associated with a branch portion included in the first tree structure;
• and
• the computer outputs estimation data based on a result of referring to the second tree structure from a root node to a leaf node with input data including one or more attribute values regarding at least one attribute item as an input.

A tree structure generation method, wherein:

• a computer generates a first tree structure which represents a relation of a plurality of measurement data sets according to at least a part of measurement data;
• each of the plurality of measurement data sets is a data set including values measured at each of one or more points in time;
• with regard to each of a plurality of nodes in the first tree structure,
• a relevant node is a node based on one or more measurement data sets corresponding to one or more nodes including the relevant node;
• the one or more nodes include the relevant node and, if there are nodes that are lower than the relevant node, include those lower nodes;
• the computer 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 regarding each of one or more attribute items regarding each of the one or more branch portions;
• with regard to each of the one or more attribute items for each branch portion, goodness-of-fit is a value calculated based on a parent node and two or more child nodes belonging to a relevant branch portion, and one or more attribute values corresponding to a relevant attribute item, and represents a degree that the relevant attribute item will fit as a base of a branch condition;
• and
• the computer generates a second tree structure as a tree structure in which a branch condition decided based on the goodness-of-fit data is associated with a branch portion included in the first tree structure.