Information processing system, information processing method, and program
An information processing system, an information processing method, and a program capable of satisfactory data analysis are provided. The information processing system includes a frequency conversion unit 205 which converts a plurality of pieces of time-series data obtained through detection carried out by a plurality of sensing units 201 into pieces of frequency data 208, respectively, a model construction unit 211 which generates a correlation model 213 using pieces of the frequency data 208 for at least two sensing units 201 from among the plurality of sensing units 201 and calculates a correlation strength 214 of the correlation model 213, and an error detection unit which determines whether an error has occurred based on the correlation strength 214.
1. An information processing system comprising:
a memory storing instructions, and
one or more processors configured to execute the instructions to:
convert a plurality of pieces of time-series data obtained through detection carried out by a plurality of sensors into pieces of first frequency data and second frequency data, respectively;
generate a first correlation model using pieces of the first frequency data for at least two sensors from among the plurality of sensors;
calculate a correlation strength of the first correlation model representing a prediction error of the first correlation model based on the first correlation model and the first frequency data obtained from the sensor by which the data used to generate the first correlation model has been measured;
generate a second correlation model using pieces of the second frequency data;
calculate a correlation strength of the second correlation model; and
determine whether an error has occurred based on the correlation strength of the first correlation model and the second correlation model;
wherein whether an error has occurred is determined based on a comparison between the correlation strength of the first correlation model and the correlation strength of the second correlation model.
2. The information processing system according to claim 1 , wherein the first correlation model is generated using a combination of pieces of the first frequency data for two sensors from among the plurality of sensors.
3. The information processing system according to claim 1 , wherein the first correlation model is generated using average frequency data representing an average of a plurality of pieces of the first frequency data for the plurality of sensors, and a piece of the first frequency data from among the plurality of pieces of the first frequency data.
4. The information processing system according to claim 1 , wherein the second correlation model is generated using a combination of pieces of the second frequency data for two sensors from among the plurality of sensors.
5. The information processing system according to claim 1 , wherein the second correlation model is generated using average frequency data representing an average of a plurality of pieces of the first frequency data for the plurality of sensors, and a piece of the second frequency data.
6. The information processing system according to claim 1 , wherein the pieces of time-series data for the pieces of first frequency data and the pieces of time-series data for the pieces of second frequency data are detected at different timings by the plurality of sensors.
7. The information processing system according to claim 1 , wherein the pieces of time-series data for the pieces of first frequency data and the pieces of time-series data for the pieces of second frequency data are detected by different sensors from among the plurality of sensors.
8. The information processing system according to claim 1 , wherein the pieces of frequency data used in generating the first correlation model is applied to the first correlation model to generate a threshold used to determine whether an error has occurred.
9. An information processing method performed by an information processing system comprising:
converting a plurality of pieces of time-series data obtained through detection carried out by a plurality of sensors into pieces of first frequency data and second frequency data, respectively;
generating a first correlation model using pieces of the first frequency data for at least two sensors from among the plurality of sensors;
calculating a correlation strength of the first correlation model representing a prediction error of the first correlation model based on the first correlation model and the first frequency data obtained from the sensor by which the data used to generate the first correlation model has been measured;
generating a second correlation model using pieces of the second frequency data;
calculating a correlation strength of the second correlation model; and
determining whether an error has occurred based on the correlation strength of the first correlation model and the second correlation model;
wherein whether an error has occurred is determined based on a comparison between the correlation strength of the first correlation model and the correlation strength of the second correlation model.
10. A non-transitory computer readable storage medium recording thereon a program causing a computer to perform a method comprising:
converting a plurality of pieces of time-series data obtained through detection carried out by a plurality of sensors into pieces of first frequency data and second frequency data, respectively;
generating a first correlation model using pieces of the first frequency data for at least two sensors from among the plurality of sensors;
calculating a correlation strength of the first correlation model representing a prediction error of the first correlation model based on the first correlation model and the first frequency data obtained from the sensor by which the data used to generate the first correlation model has been measured;
generating a second correlation model using pieces of the second frequency data;
calculating a correlation strength of the second correlation model; and
determining whether an error has occurred based on the correlation strength of the first correlation model and the second correlation model;
wherein whether an error has occurred is determined based on a comparison between the correlation strength of the first correlation model and the correlation strength of the second correlation model.