Abstract: A computer system includes a processor and a memory connected to the processor, and manages pieces of reward function information for defining rewards for states and actions of the control targets for each of the control targets. The pieces of reward function information includes first reward function information for defining the reward of a first control target and second reward function information for defining the reward of a second control target. When updating the first reward function information, the processor compares the rewards of the first reward function information and the second reward function information with each other, specifies a reward, which is reflected in the first reward function information from rewards set in the second reward function information, updates the first reward function information on the basis of the specified reward, and decides an optimal action of the first control target by using the first reward function information.

Abstract: An analysis system includes a storage unit and a processing unit. The processing unit quantifies the brain state on the basis of occurrence frequencies of the duration included in a plurality of regions each of which has a predefined range within which the duration falls. The calculated brain index is calculated by the processing unit using coefficients.

Abstract: An analysis system analyzes a state of a person and includes a terminal configured to be worn on the person's body. The terminal includes an acceleration sensor, a storage unit, and a processing unit. The processing unit determines whether each value contained in the time series data is in a first state in which the value is equal to or greater than the threshold or in a second state in which the value is less than the threshold. The processing unit also determines a duration which is a period of time during which the first state continues. The processing unit quantifies a brain state of the person on the basis of the duration.

Abstract: Provided is a technique for extracting a factor (event pattern) that has an influence on an objective index (objective variable). A data analysis device according to the present disclosure performs: a process of generating, with respect to explanatory variable data included in data to be analyzed, a time-series pattern in a predetermined range; a process of calculating a correlation value between the time-series pattern and at least one item of objective variable data included in the data to be analyzed; and a process of outputting, together with the correlation value, the time-series pattern corresponding to the correlation value as an analysis result.

Abstract: This data conversion system is characterized by including: a storage unit that stores a column including a plurality of data elements; a range specification module that specifies the range of each of the data elements of the column; an information amount evaluation module that calculates the information amount of the data element within the specified range of the column; and a change point detection module that detects a point at which a change in the information amount according to a change in the specified range satisfies a predetermined condition.

Abstract: A control device controls a subject to be controlled that obtains a certain state by an action, and is configured to conduct: an obtaining process to obtain the state and the action of the subject to be controlled from the subject to be controlled; a generating process to generate a reward that causes a next action of the subject to be controlled to optimize a next state of the subject to be controlled, based on the state and the action of the subject to be controlled; a selecting process to select a next action of the subjected to be controlled, based on the state and the action of the subject to be controlled, and the reward; and a control process to give a control command value to the subject to be controlled, the control command value corresponding to the next action of the subject to be controlled.

Abstract: Provided is a data analysis support system, comprising a processor, and a storage device which is coupled to the processor. The storage device retains objective index information which associates primary key values with objective index values, and explanatory index information which associates values common to the primary keys with sets of values of explanatory indices of a plurality of items. The processor selects one or more items of the explanatory indices, clusters the values of the explanatory indices of the selected one or more items, identifies a range of the values of the explanatory indices of each of the items of each of the clusters which are obtained by the clustering, and outputs the identified value ranges.

Abstract: A data processing system that calculates a correlation coefficient between multiple variables includes a storage unit in which a table in which multiple correlation coefficients are stored is stored, a first selection unit that makes a selection to determine whether or not calculation of a first correlation coefficient that is a correlation coefficient between a first variable and a second variable is indispensable, a second selection unit that selects a third variable which is a variable that results from storing in the table a second correlation coefficient that is a correlation coefficient representing a relationship with the first variable, and a third correlation coefficient that is a correlation coefficient representing a relationship with the second variable, and a first determination unit that determines whether or not the calculation of the first correlation coefficient is indispensable, based on the second correlation coefficient and the third correlation coefficient.

Abstract: A computer system includes a processor and a memory connected to the processor, and manages pieces of reward function information for defining rewards for states and actions of the control targets for each of the control targets. The pieces of reward function information includes first reward function information for defining the reward of a first control target and second reward function information for defining the reward of a second control target. When updating the first reward function information, the processor compares the rewards of the first reward function information and the second reward function information with each other, specifies a reward, which is reflected in the first reward function information from rewards set in the second reward function information, updates the first reward function information on the basis of the specified reward, and decides an optimal action of the first control target by using the first reward function information.

Abstract: Provided is a data analysis support system, comprising a processor, and a storage device which is coupled to the processor. The storage device retains objective index information which associates primary key values with objective index values, and explanatory index information which associates values common to the primary keys with sets of values of explanatory indices of a plurality of items. The processor selects one or more items of the explanatory indices, clusters the values of the explanatory indices of the selected one or more items, identifies a range of the values of the explanatory indices of each of the items of each of the clusters which are obtained by the clustering, and outputs the identified value ranges.

Abstract: This data conversion system is characterized by including: a storage unit that stores a column including a plurality of data elements; a range specification module that specifies the range of each of the data elements of the column; an information amount evaluation module that calculates the information amount of the data element within the specified range of the column; and a change point detection module that detects a point at which a change in the information amount according to a change in the specified range satisfies a predetermined condition.

Abstract: Provided is a data processing system for creating a model for optimizing input data including a plurality of columns, the system including a processor and a storage unit. The processor is configured to receive index data including information on a combination of the columns to serve as an index in optimization of the input data, and changeability information indicating if data in each column is allowed to be changed in the optimization, and create the model on the basis of the index data.

Abstract: Provided is a technique for extracting a factor (event pattern) that has an influence on an objective index (objective variable). A data analysis device according to the present disclosure performs: a process of generating, with respect to explanatory variable data included in data to be analyzed, a time-series pattern in a predetermined range; a process of calculating a correlation value between the time-series pattern and at least one item of objective variable data included in the data to be analyzed; and a process of outputting, together with the correlation value, the time-series pattern corresponding to the correlation value as an analysis result.

Abstract: A control device controls a subject to be controlled that obtains a certain state by an action, and is configured to conduct: an obtaining process to obtain the state and the action of the subject to be controlled from the subject to be controlled; a generating process to generate a reward that causes a next action of the subject to be controlled to optimize a next state of the subject to be controlled, based on the state and the action of the subject to be controlled; a selecting process to select a next action of the subjected to be controlled, based on the state and the action of the subject to be controlled, and the reward; and a control process to give a control command value to the subject to be controlled, the control command value corresponding to the next action of the subject to be controlled.

Abstract: An analysis system analyzes a state of a person and includes a terminal configured to be worn on the person's body. The terminal includes an acceleration sensor, a storage unit, and a processing unit. The processing unit determines whether each value contained in the time series data is in a first state in which the value is equal to or greater than the threshold or in a second state in which the value is less than the threshold. The processing unit also determines a duration which is a period of time during which the first state continues. The processing unit quantifies a brain state of the person on the basis of the duration.

Abstract: A data processing system that calculates a correlation coefficient between multiple variables includes a storage unit in which a table in which multiple correlation coefficients are stored is stored, a first selection unit that makes a selection to determine whether or not calculation of a first correlation coefficient that is a correlation coefficient between a first variable and a second variable is indispensable, a second selection unit that selects a third variable which is a variable that results from storing in the table a second correlation coefficient that is a correlation coefficient representing a relationship with the first variable, and a third correlation coefficient that is a correlation coefficient representing a relationship with the second variable, and a first determination unit that determines whether or not the calculation of the first correlation coefficient is indispensable, based on the second correlation coefficient and the third correlation coefficient.

Abstract: An information processing system includes a sensor node and a server. The sensor node obtains acceleration data and transmits the data to the server. The server obtains and records the number of zero crossings from the acceleration data. The server obtains and records the frequency distribution of the number of zero crossings. The server obtains one or more of the following: the slope of the approximate line of the distribution; the linearity of the distribution; the inflection point; the slope of the approximate line in the zero crossing range below the inflection point; the slope of the approximate line in the zero crossing range above the inflection point; the linearity of the distribution in the zero crossing range below the inflection point; and the linearity of the distribution in the zero crossing range above the inflection point. Then, the server records the obtained value.

Abstract: An information processing system including plural terminals, a base station to communicate with the terminals, and a management server coupled via a network to the base station, in which each terminal includes a behavioral information sensor to acquire behavioral information on the person wearing the terminal, and the management server retains the predefined relations among the persons within the organization, receives and retains the behavioral information from each terminal, calculates the behavioral characteristic quantity showing behavioral characteristics of each person relative to other persons based on the behavioral information, sums the calculated behavioral characteristic quantities for each of the defined relations between the person and the other persons, and when information showing changes in the still non-implemented defined relations is acquired, estimates the behavioral characteristic quantity of the person after changing the defined relation according to the acquired information, based on th

Abstract: For providing an information processing system which enables easier automatic extraction of a more suitable object for which a measure is to be taken, the information processing system for extracting the object for which the measure is taken is configured to include: a reception. unit (GSO5) which receives first data (GSC11) related to business of an enterprise and second data (GSC12) that is related to the business of the enterprise and has granularity equal to or finer than the granularity of the first data; an index generation unit (GSO2) which generates, from the first data, a plurality of descriptive indices matching the granularity of the second data; and an extraction unit (GSO1) which extracts from the descriptive indices, the object for which the measure is to be taken.

Abstract: In one embodiment, the invention presented herein relates to a system that reconfigures usage of a storage device. The system includes an apparatus, a sensor device, and a processor. The processor combines tables based on first user-defined information that indicates a relationship of data between the tables. The processor also reduces columns of a combined table, based on both second user-defined information that indicates a specific key column, and third user-defined information that indicates a combination of columns such that a given row of the combined table is specified by only the key column.