Abstract: A reasoning method for determining similar cases by executing a case-similarity calculation step and utilizing a distribution of values of fields for calculation of reasoning results of cases having high similarities. Since the similar cases are determined taking a peripheral distribution of a new case into consideration, suitable similar cases can be selected for reasoning even when the case distribution is not uniform.

Abstract: Data analysis using online data summarization processing and rule-based data characteristic detection is performed at the time the transaction data is input. Online data input through an input device of a first server is stored into a transaction data memory device. A data summarizing device carries out summarization processing of online data according to stored parameters, and the resultant summary data is stored into a summary data memory device. A data joining device joins the summary data stored in the summary data memory device and the summary data transferred from a second server for the purpose of updating. In the first server, using rules generated by a rule generating device and stored in rule memory device, a detecting device detects characteristics of the summary data. Further, the results of data characteristic detection are sent to a client through.

Abstract: A reasoning method for determining similar cases by executing a case-similarity calculation step and utilizing a distribution of values of fields for calculation of reasoning results of cases having high similarities. Since the similar cases are determined taking a peripheral distribution of a new case into consideration, suitable similar cases can be selected for reasoning even when the case distribution is not uniform.

Abstract: A data analyzing method for generating a rule based on data items in a data base, wherein the rule expresses relational features of the data items. The invention includes a user interface and a rule generation module. The rule generation module, in response to an input from the user via the user interface, selects data items for use in a conditional clause and a conclusion clause of a rule from the data items stored in the data base, converts, when the selected data items have numerical values, the numerical values into symbolic values and creates plural candidate rules each expressing a correlation between selected data items in a rule form having one or plural sets of item names and symbolic values.

Abstract: A data analyzing method and system for generating a rule based on data items in a data base, wherein the rule expresses relational features of the data items. The invention includes a user interface and a rule generation module. The rule generation module, in response to an input from the user via the user interface, selects data items for use in a conditional clause and a conclusion clause of a rule from the data items stored in the data base, converts, when the selected data items have numerical values, the numerical values into symbolic values and creates plural candidate rules each expressing a correlation between selected data items in a rule form having one or plural sets of item names and symbolic values.

Abstract: In a data utilizing system, a statistic table exhibiting a characteristic distribution is automatically extracted from given statistic tables of data. After confirmation of distribution of the data on the extracted statistic table, data required is retrieved from the statistic table.

Abstract: A data analyzing method and system for generating a rule based on data items in a data base, wherein the rule expresses relational features of the data items. The invention includes a user interface and a rule generation module. The rule generation module, in response to an input from the user via the user interface, selects data items for use in a conditional clause and a conclusion clause of a rule from the data items stored in the data base, converts, when the selected data items have numerical values, the numerical values into symbolic values and creates plural candidate rules each expressing a correlation between selected data items in a rule form having one or plural sets of item names and symbolic values.