Data processing method, data processing device, and recording medium

1. A method for processing time-series data including a plurality of data items, comprising:

identifying a type of a data item in which the data is stored, using an overlap pattern indicating the type of the data item and a method for identifying the type;

processing the data stored in the data item, using calculation designated for each type of the data item, and adding at least one or more new data items to the type of the data item storing the processed data;

determining, from the at least one or more new data items, which of the at least one or more new data items do not contain an updated score;

selecting, from the at least one or more new data items that do not contain an updated score, a first data item that includes an input data item and an additional data item;

acquiring time period information including a monitoring start time and a monitoring end time;

calculating, for the at least one or more new data items that do not contain the updated scores, scores obtained by quantifying an amount of information displayed on a display screen for the at least one or more new data items that do not contain the updated scores including the added data items;

calculating, for the at least one or more new data items that do not contain the updated scores, the scores which are displayed on the displayed for a time period indicated by the time period information and a time period other than the time period;

arranging the data items including the at least one or more new data items on the basis of a difference between the scores for the time period and the scores for a time period other than the time period; and

acquiring time information, detecting change points of data stored in the data items including the added data items for a predetermined time period before and after the occurrence time, calculating the scores using the numbers of change points for the time period, and arranging the data items on the basis of the scores.

2. The data processing method according to claim 1 , further comprising:

creating statistical distributions of data stored in the data items including the added data items, calculating variances of the created statistical distributions as the scores, and arranging the data items on the basis of the calculated scores; or

performing spectrum analysis using Fourier transform for data stored in the data items including the added data items, calculating frequency ranges in which a spectrum is equal to or greater than a predetermined value as the scores, and arranging the data items on the basis of the calculated scores.

3. The data processing method according to claim 1 , further comprising:

grouping the data items on the basis of the added data items and the related data items before the addition; and

calculating the scores of the data items including the added data items and the data items before the addition which are displayed on the display screen and arranging the groups on the basis of a maximum value of the scores of the data items included in the groups.

4. The data processing method according to claim 1 , further comprising:

calculating a variance of a statistical distribution of the scores of the plurality of data items and providing the variance as an index for significance of arrangement.

5. The data processing method according to claim 1 , further comprising:

acquiring an average value of the scores of the plurality of data items and time period information including a start time and an end time, calculating the average value for a time period indicated by the time period information or a difference between the average values for time periods other than the time period, and providing the calculated value as an index for significance of data.

6. The data processing method according to claim 1 , further comprising:

setting a threshold value to an index for at least one of the score and a ranking of the arrangement results and removing the data items in which a value of the index is less than the threshold value from subsequent data processing.

7. The data processing method according to claim 1 , further comprising:

receiving an operation of adjusting at least one of fixed display, arrangement, and non-display from a user of the data in an output of the arrangement data items and storing the operation as a coefficient of the adjusted data item; and

calculating the scores obtained by quantifying the amount of information displayed on the display screen, correcting the scores with the coefficient after the adjustment, and arranging the data items on the basis of the corrected scores.

8. The data processing method according to claim 7 , further comprising:

calculating a relation between a new data item and the existing data items on the basis of at least one of a generation source of data stored in the new data item, the type of the new data item, a statistical distribution of the data, and spectrum characteristics of the data, and calculating an initial coefficient of the new data item on the basis of the relation and the coefficient of the data item.

9. The data processing method according to claim 7 , further comprising:

calculating an initial coefficient of a new user on the basis of the coefficients of a plurality of the users that have been registered; and

calculating scores obtained by quantifying the amount of information displayed on the display screen for the new user, correcting the scores with the coefficients, and arranging the data items on the basis of the corrected scores.

10. A data processing device that processes time-series data including a plurality of data items,

wherein the data processing device:

identifies a type of a data item in which the data is stored, using an overlap pattern indicating the type of the data item and a method for identifying the type,

processes the data stored in the data item, using calculation designated for each type of the data item, and adds at least one or more new data items to the type of the data item storing the processed data,

determines, from the at least one or more new data items, which of the at least one or more new data items do not contain an updated score,

selects, from the at least one or more new data items that do not contain an updated score, a first data item that includes an input data item and an additional data item,

acquires time period information including a monitoring start time and a monitoring end time,

calculates, for the at least one or more new data items that do not contain an updated score, scores obtained by quantifying an amount of information displayed on a display screen for the at least one or more new data items that do not contain an updated score including the added data items,

calculates, for the at least one or more new data items that do not contain the updated scores, the scores which are displayed on the displayed for a time period indicated by the time period information and a time period other than the time period,

arranges the data items including the at least one or more new data items on the basis of a difference between the scores for the time period and the scores for a time period other than the time period, and

acquires time information, detects change points of data stored in the data items including the added data items for a predetermined time period before and after the occurrence time, calculates the scores using the numbers of change points for the time period, and arranges the data items on the basis of the scores.

11. The data processing device according to claim 10 ,

wherein the data processing device performs:

a process of creating statistical distributions of data stored in the data items including the added data items, calculating variances of the created statistical distributions as the scores, and arranging the data item on the basis of the calculated scores; or

a process of performing spectrum analysis using Fourier transform for data stored in the data items including the added data items, calculating frequency ranges in which a spectrum is equal to or greater than a predetermined value as the scores, and arranging the data items on the basis of the calculated scores.

12. The data processing device according to claim 10 , wherein the data processing device calculates a variance of a statistical distribution of the scores of the plurality of data items and provides the variance as an index for significance of arrangement.

13. The data processing device according to claim 10 ,

wherein the data processing device acquires an average value of the scores of the plurality of data items and time period information including a start time and an end time, calculates the average value for a time period indicated by the time period information or a difference between the average values for time periods other than the time period, and provides the calculated value as an index for significance of data.

14. A non transitory computer-readable recording medium storing a program that causes a computer to perform:

identifying a type of a data item in which time-series data including a plurality of data items is stored, using an overlap pattern indicating the type of the data item and a method for identifying the type;

processing the data stored in the data item, using calculation designated for each type of the data item, and adding at least one or more new data items to the type of the data item storing the processed data;

determining, from the at least one or more new data items, which of the at least one or more new data items do not contain an updated score;

selecting, from the at least one or more new data items that do not contain an updated score, a first data item that includes an input data item and an additional data item;

acquiring time period information including a monitoring start time and a monitoring end time;

calculating, for the at least one or more new data items that do not contain the updated scores, scores obtained by quantifying an amount of information displayed on a display screen for the at least one or more new data items that do not contain the updated scores including the added data items;

calculating, for the at least one or more new data items that do not contain the updated scores, the scores which are displayed on the displayed for a time period indicated by the time period information and a time period other than the time period;

arranging the data items including the at least one or more new data items on the basis of a difference between the scores for the time period and the scores for a time period other than the time period; and

acquiring time information, detecting change points of data stored in the data items including the added data items for a predetermined time period before and after the occurrence time, calculating the scores using the numbers of change points for the time period, and arranging the data items on the basis of the scores.