An incremental learning management method includes: extracting data by a computer from input data that are sequentially input based on a first window size and a first sampling rate; storing learning history information in which the first window size is associated with a learning time for the data and the first sampling rate; measuring a data rate of the input data; and calculating a second window size and a second sampling rate based on the data rate, the learning history information, and the first sampling rate.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An incremental learning management method comprising: extracting data by a computer from input data that are sequentially input based on a first window size and a first sampling rate; storing learning history information in which the first window size is associated with a learning time for the data and the first sampling rate; measuring a data rate of the input data; and calculating a second window size and a second sampling rate based on the data rate, the learning history information, and the first sampling rate. 2. The incremental learning management method according to claim 1, further comprising: generating a model of the learning time based on the learning history information; and calculating the second window size and the second sampling rate from the model of the learning time based on the data rate. 3. The incremental learning management method according to claim 1, further comprising: finishing calculation of the second window size and the second sampling rate and changing the first window size and the first sampling rate to the second window size and the second sampling rate that are calculated last, in a case where accuracy of incremental learning in accordance with the first sampling rate is a threshold value or less. 4. The incremental learning management method according to claim 1, further comprising: calculating a new second window size and a new sampling rate as the second window size and the second sampling rate, in a case where accuracy of incremental learning in accordance with the first sampling rate is greater than a threshold value. 5. An incremental learning management device comprising: a memory configured to store a program; and a processor configured to execute the program, wherein the processor is configured to: extract data from input data that are sequentially input based on a first window size and a first sampling rate; store learning history information in which the first window size is associated with a learning time for the data and the first sampling rate; measure a data rate of the input data; and calculate a second window size and a second sampling rate based on the data rate, the learning history information, and the first sampling rate. 6. The incremental learning management device according to claim 5, wherein the processor is configured to: generate a model of the learning time based on the learning history information; and calculate the second window size and the second sampling rate from the model of the learning time based on the data rate. 7. The incremental learning management device according to claim 5, wherein the processor is configured to finish calculation of the second window size and the second sampling rate and changes the first window size and the first sampling rate to the second window size and the second sampling rate that are calculated last, in a case where accuracy of incremental learning in accordance with the first sampling rate is a threshold value or less. 8. The incremental learning management device according to claim 5, wherein the processor is configured to calculate a new second window size and a new sampling rate as the second window size and the second sampling rate, in a case where accuracy of incremental learning in accordance with the first sampling rate is greater than a threshold value. 9. A computer readable recording medium storing an incremental learning management program, the program causing a computer to perform operations of: extracting data from input data that are sequentially input based on a first window size and a first sampling rate; storing learning history information in which the first window size is associated with a learning time for the data and the first sampling rate; measuring a data rate of the input data; and calculating a second window size and a second sampling rate based on the data rate, the learning history information, and the first sampling rate. 10. The computer readable recording medium according to claim 9, further comprising: generating a model of the learning time based on the learning history information; and calculating the second window size and the second sampling rate from the model of the learning time based on the data rate. 11. The computer readable recording medium according to claim 9, further comprising: finishing calculation of the second window size and the second sampling rate and changing the first window size and the first sampling rate to the second window size and the second sampling rate that are calculated last, in a case where accuracy of incremental learning in accordance with the first sampling rate is a threshold value or less. 12. The computer readable recording medium according to claim 9, further comprising: calculating a new second window size and a new sampling rate as the second window size and the second sampling rate, in a case where accuracy of incremental learning in accordance with the first sampling rate is greater than a threshold value.