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: The present invention is intended to automatically select least required input items for a non-linear model and improve an efficiency of building up the non-linear model. For building up, for example, a neural network as the non-linear model, a group-by rule 105 and dividing point information 106 of the data are automatically generated by a group-by rule induction device 104 by selecting a dividing method option 101 and a group selection information 103 if data for learning 101 is given. An initial neural network model generating device 107 automatically generates an initial neural network model 108 from the group-by rule 105. The initial neural network model is learned in a neural network model learning device 111 and outputted as a post-learning neural network model 112. Data for learning with group information 110 which is the data for learning is generated in a data classification device 109 by using data for learning 102, group-by rule 105 and dividing point information 106.

Abstract: A rule generation apparatus includes a label presenter in which when producing from training data including a set of specific values related to input and output variables rules representing input/output relationships between the input and output variables, numeric data of the training data is converted into categorical data expressed by symbols to generate an instance table, an RI device for extracting rules from the instance table, and a rule converter for converting the extracted rules into fuzzy rules. When the training data is divided to be distributively stored in a plurality of server processors, label assignment is conducted by each server processor such that a client processor later combines instance tables with each other to achieve rule induction and conversion.

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 spectrum analyzer, an intermediate-frequency oscillator and the outputs from a sweep oscillator are frequency mixed to obtain a measuring signal, which is provided to a device under test. The intermediate-frequency signal and the output from the intermediate-frequency oscillator are supplied to a phase detector to detect a phase difference between them. A signal representing the detected phase difference and the output from a detector are selectively applied by a switch to a display.

Abstract: A digital frequency measuring device in which pulses of an input signal are counted for a certain period of time under the control of a gate signal and the count value is displayed in a digital form. A fraction detector circuit is provided for measuring the time interval or difference .DELTA.T.sub.1 between the leading edge of the gate signal and an input pulse arriving after it, the time interval or difference .DELTA.T.sub.2 between the trailing edge of the gate signal and an input pulse arriving after it and the unit period T of the input pulse signal, and performing an operation corresponding to (.DELTA.T.sub.1 - .DELTA.T.sub.2 /T. The result of operation is converted into the corresponding digital value, which is displayed as a fraction value of the abovesaid count value.