Abstract: According to one embodiment, an information processing apparatus includes an estimator configured to estimate a state of an observation target on a first time, based on data on the first time included in time-series data obtained from the observation target. Also, an information processing method for estimating a state of an observation target on a first time, based on data on the first time included in time-series data obtained from the observation target is provided.

Abstract: According to an embodiment, an information processing device includes one or more processors. The processors calculate a first degree of influence of a plurality of variables on output data, and a frequency at which the plurality of variables are selected as a variable influencing the output data, based on K first models. The K first models are models estimated using a plurality of pieces of input data including the plurality of variables. The plurality of input data are obtained in K periods. K is an integer of 2 or more. The first model receives input of the input data including the plurality of variables and outputs the output data. The processors output the first degree of influence and the frequency in association with each other.

Abstract: According to one embodiment, information processing device includes a storage and a processing circuit. The storage is configured to store configuration data of a plurality of devices and error history data including a plurality of entries each with a type of error. The processing circuit is configured to: extract the entries with a specific type of error which are positive examples; extract the remaining entries which are negative examples; select a part of the negative examples with each type of error; generate learning data based on the positive examples, the selected negative examples and the configuration data at a time when the specific type of error occurred; and generate a diagnosis model for estimation of possibility the specific type of error occurs by using the learning data.

Abstract: An information processing device includes a sufficiency determiner, a diagnostic unit, a request data generator, and a deliverer. The sufficiency determiner determines, concerning each diagnostic item in a target, whether plural pieces of inspection result data indicating inspection result by users, differing from a professional include sufficient pieces of effective inspection result data for diagnosing. The diagnostic unit diagnoses, concerning the diagnostic item, the condition of the target based on the plural inspection result data pieces when the plural inspection result data include sufficient pieces of inspection result data for diagnosing. The request data generator generates, concerning the diagnostic item, request data for requesting the users to conduct an inspection when the plural inspection result data pieces do not include sufficient pieces of inspection result data for diagnosing. The deliverer deliver the request data to user terminals.

Abstract: According to one embodiment, a sensor design support apparatus includes: an inter-data feature calculator and a model constructor. The inter-data feature calculator combines any two pieces of data based on first to k-th data acquired from each of a plurality of sensors in response to first to k-th conditions being satisfied to generate a plurality of data pairs for each of sensors, the sensors monitoring a target; and calculates a plurality of inter-data features based on the plurality of data pairs. The model constructor calculates a plurality of coefficients corresponding to the plurality of inter-data features in a classification model based on state data indicating states of the monitoring target at times which the first to k-th conditions are satisfied, wherein the classification model associates the plurality of coefficients and the plurality of inter-data features with a value identifying a state of the monitoring target.

Abstract: According to one embodiment, an information processing apparatus includes: a difference calculator configured to calculate, based on a plurality of data items each including an objective variable and at least one explanatory variable, a plurality of differences between the objective variable and prediction values of the objective variable predicted from the explanatory variable; a candidate generator configured to generate at least one division condition candidate which divides the explanatory variable into a plurality of sections; and a division condition selector configured to select a first division condition from the at least one division condition candidate, based on the differences calculated by the difference calculator.

Abstract: According to one embodiment, a sensor control support apparatus includes: a sensor selector configured to, based on measurement data of a plurality of sensors for at least one monitoring target and state data indicating an state of the at least one monitoring target, select a sensor to be used for state prediction of the monitoring target from among the plurality of sensors; and a sensor controller configured to control the plurality of sensors based on a selection result of the sensor selector.

Abstract: According to one embodiment, an information processing apparatus includes an estimator configured to estimate a state of an observation target on a first time, based on data on the first time included in time-series data obtained from the observation target. Also, an information processing method for estimating a state of an observation target on a first time, based on data on the first time included in time-series data obtained from the observation target is provided.

Abstract: An information processing apparatus according to an embodiment of the present invention includes a group setting device configured to group a plurality of variables included in operation data into at least one type of groups, based on structure data representing a structural relation among the plurality of variables; a regularization term generator configured to generate at least one regularization term corresponding to the at least one type based on a coefficient for the variable included in the at least one type of groups, and a coefficient estimator configured to estimate, based on the operation data and an objective function including the at least one regularization term, values of a plurality of the coefficients for the plurality of variables.

Abstract: According to one embodiment, an information processing apparatus includes a preference information obtainer that obtains preference information indicating preferences of a target user to which recommendation is to be made, the preferences ranging over a plurality of genres. The information processing apparatus includes a recommendation item determiner that determines, using the preference information of the target user and recommendation candidate information about a plurality of recommendation candidates ranging over a plurality of genres, a recommendation item to be recommended to the target user from the plurality of recommendation candidates, the recommendation candidate information being stored in an accessible storage apparatus.

Abstract: An information processing apparatus has a model construction unit that constructs a model represented using a plurality of variables corresponding to a plurality of classes, an evaluated value calculation unit that calculates an evaluated value of the model constructed by the model construction unit, a correlation specification unit that specifies a correlation between some variables among the plurality of variables based on the calculated evaluated value, a variable processing determination unit that determines whether to perform at least one of creation, integration, and stratification of at least some variables among the plurality of variables based on the correlation specified by the correlation specification unit, and a variable processing unit that performs at least one of creation processing, integration processing, and stratification processing of the variables when the at least one of the creation, the integration, and the stratification of the variables is determined to be performed.

Abstract: According to one embodiment, information processing device includes a storage and a processing circuit. The storage is configured to store configuration data of a plurality of devices and error history data including a plurality of entries each with a type of error. The processing circuit is configured to: extract the entries with a specific type of error which are positive examples; extract the remaining entries which are negative examples; select a part of the negative examples with each type of error; generate learning data based on the positive examples, the selected negative examples and the configuration data at a time when the specific type of error occurred; and generate a diagnosis model for estimation of possibility the specific type of error occurs by using the learning data.

Abstract: According to one embodiment, a sensor control support apparatus includes: a sensor selector configured to, based on measurement data of a plurality of sensors for at least one monitoring target and state data indicating an state of the at least one monitoring target, select a sensor to be used for state prediction of the monitoring target from among the plurality of sensors; and a sensor controller configured to control the plurality of sensors based on a selection result of the sensor selector.

Abstract: According to one embodiment, a sensor design support apparatus includes: an inter-data feature calculator and a model constructor. The inter-data feature calculator combines any two pieces of data based on first to k-th data acquired from each of a plurality of sensors in response to first to k-th conditions being satisfied to generate a plurality of data pairs for each of sensors, the sensors monitoring a target; and calculates a plurality of inter-data features based on the plurality of data pairs. The model constructor calculates a plurality of coefficients corresponding to the plurality of inter-data features in a classification model based on state data indicating states of the monitoring target at times which the first to k-th conditions are satisfied, wherein the classification model associates the plurality of coefficients and the plurality of inter-data features with a value identifying a state of the monitoring target.

Abstract: An information processing apparatus has a model construction unit that constructs a model represented using a plurality of variables corresponding to a plurality of classes, an evaluated value calculation unit that calculates an evaluated value of the model constructed by the model construction unit, a correlation specification unit that specifies a correlation between some variables among the plurality of variables based on the calculated evaluated value, a variable processing determination unit that determines whether to perform at least one of creation, integration, and stratification of at least some variables among the plurality of variables based on the correlation specified by the correlation specification unit, and a variable processing unit that performs at least one of creation processing, integration processing, and stratification processing of the variables when the at least one of the creation, the integration, and the stratification of the variables is determined to be performed.

Abstract: According to one embodiment, an information processing apparatus includes a preference information obtainer that obtains preference information indicating preferences of a target user to which recommendation is to be made, the preferences ranging over a plurality of genres. The information processing apparatus includes a recommendation item determiner that determines, using the preference information of the target user and recommendation candidate information about a plurality of recommendation candidates ranging over a plurality of genres, a recommendation item to be recommended to the target user from the plurality of recommendation candidates, the recommendation candidate information being stored in an accessible storage apparatus.