Data Analysis System and Data Analysis Apparatus
AssigneeHitachi, Ltd.
InventorsHikaru KOYAMA, Toshio OKOCHI, Toshihiro KUJIRAI
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Abstract
A data analysis apparatus generates M (M is an integer of 3 or greater) groups each including data regarding a plurality of units from data where first KPIs and K (K is an integer of 2 or greater) explanatory variables are given by 1:1, generates a second KPI indicating the state of the group based on the values of a plurality of first KPIs included in the group, and selects a feature for the first KPIs based on a correlation analysis between the second KPI of each group and the feature of each group calculated based on the explanatory variables.
Claims15
A data analysis system comprising:
- a data collecting device configured to collect manufacturing history data of units where identification information is given and binary first key performance indicators (KPI) indicating whether the units are good products or defective products;
- and
- a data analysis apparatus configured to select a feature of explanatory variables related to a defect factor of the units from data where the first KPIs and K (K is an integer of 2 or greater) explanatory variables are given by 1:1, wherein
- the data analysis apparatus is configured to
- generate M (M is an integer of 3 or greater) groups each including data regarding a plurality of units from data where the first KPIs and the K explanatory variables are given by 1:1,
- generate second KPIs indicating the states of the groups based on the values of a plurality of first KPIs included in the groups, and
- select a feature for the first KPIs based on a correlation analysis between the second KPIs of each group, and a feature of each group calculated based on the explanatory variables.
A data analysis apparatus comprising a processor, wherein
- the processor is configured to
- generate M (M is an integer of 3 or greater) groups each including data regarding a plurality of units from data where first objective variables indicating the states of units in binary values and K (K is an integer of 2 or greater) explanatory variables are given by 1:1,
- generate second objective variables indicating the states of the groups based on the values of a plurality of first objective variables included in the groups, and
- select a feature for the first objective variables based on a correlation analysis between the second objective variable of each group and a feature of each group calculated based on the explanatory variables.
Dependencies are inferred from the claim text.