CAUSAL ANALYSIS DEVICE, CAUSAL ANALYSIS METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM

• US 20180267964A1
• Filed: 11/02/2016
• Published: 09/20/2018
• Est. Priority Date: 11/02/2015
• Status: Active Grant

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation), Toshiba Digital Solutions Corporation (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation), Toshiba Digital Solutions Corporation (Toshiba Corporation)
• Inventors: HAYASHI, Tetsuya, MATSUMOTO, Shigeru, SAKURADA, Akihiro
• Granted Patent: US 10,642,818 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/076 by exceeding a count or rate limit, e.g. word- or bit count limit
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06F 16/95 Retrieval from the web
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202

Abstract

A causal analysis device according to an embodiment includes an extractor, a counter, a calculator, and a generator. The extractor performs extraction from combination data in which an incident and one or a plurality of factors causing the incident are associated with each other in accordance with occurrence of combination data. The counter counts the number of occurrences of the incident or the number of occurrences of a combination of the plurality of factors on the basis of a combination of the incident and the factors included in the extracted combination data. The calculator calculates an index value that corresponds to the combination of the incident and the factors and changes in accordance with the number of occurrences of the combination of the incident and the factors on the basis of a result of the counting of the counter. The generator generates an image in which an image indicating the index value calculated by the calculator for each combination of the incident and the factors is associated with the combination of the incident and the factors.

Claims

1. A causal analysis device comprising:

an extractor configured to extract combination data from data in which an incident and one or a plurality of factors causing the incident are associated with each other in accordance with occurrence of the incident;

a counter configured to count the number of occurrences of the incident or the number of occurrences of a combination of the plurality of factors on the basis of a combination of the incident and the factors included in the combination data;

a calculator configured to calculate an index value that corresponds to the combination of the incident and the factors and changes in accordance with the number of occurrences of the combination of the incident and the factors on the basis of a result of the counting of the counter; and

a generator configured to generate an image in which an image indicating the index value calculated by the calculator for each combination of the incident and the factors is associated with the combination of the incident and the factors.

2. The causal analysis device according to claim 1, wherein the calculator is configured to calculate the number of occurrences of the combination of the incident and the factors as an index value of the combination of the incident and the factors.

3. The causal analysis device according to claim 1, wherein the counter is configured to refer to the combination data and to calculate a reliability of a combination of a factor and a combination of an incident on the basis of the number of combination data items, each including a combination having the factor as a common factor, and the number of combination data items including the incident as a common incident among combination data items, each including the combination of the common factor, and

the calculator is configured to calculate the index value on the basis of the calculated reliability.

4. The causal analysis device according to claim 1, wherein the counter is configured to calculate a reliability of a combination of a factor and a combination of an incident on the basis of the number of combination data items, each including a combination having the factor as a common factor, and the number of combination data items including the incident as a common incident among combination data items, each including the combination of the common factor, and

the calculator is configured to calculate a value calculated on the basis of a plurality of the reliabilities calculated from the combination data in which at least the incident is common as an index value of a combination of the incident and the factor.

5. The causal analysis device according to claim 1, wherein the counter is configured to calculate a reliability of a combination of a factor and a combination of an incident on the basis of the number of combination data items, each including a combination having the factor as a common factor, and the number of combination data items including the incident as a common incident among combination data items, each including the combination of the common factor, and

the calculator is configured to calculate a value based on the product of a reliability calculated on the basis of the number of combination data items including the common incident and the number of combination data items including the common incident as an index value of a combination of the incident and the factor.

6. The causal analysis device according to claim 1, wherein the calculator is configured to calculate an index value of a combination of an incident and a factor on the basis of both the number of combination data items, each including a combination having the factor as a common factor, and a power of the number of combination data items, each including the combination of the factor and including the incident as a common incident, on the basis of the combination data.

7. The causal analysis device according to claim 1, wherein the extractor is configured to extract the combination data on the basis of an occurrence amount of the combination data corresponding to the common incident.

8. The causal analysis device according to claim 1, wherein the extractor is configured to extract the combination data that is to be counted by the counter on the basis of a ratio between the number of combination data items corresponding to a common incident among combination data items included in the data to be extracted and the total number of the combination data items included in the data.

9. The causal analysis device according to claim 1, wherein the extractor is configured to extract combination data items in which factors are combined in different orders as different combination data.

10. The causal analysis device according to claim 1, wherein the counter is configured to count the number of occurrences of an incident in the combination data before the combination data is extracted or the number of occurrences of a combination of a plurality of factors in the combination data before the combination data is extracted.

11. The causal analysis device according to claim 1, wherein the calculator is configured to calculate an index value of the combination of the incident and the factor on the basis of a result of extraction of the extractor and a result of counting of the counter.

12. A causal analysis device comprising:

an acquirer configured to acquire data in which one or a plurality of factors causing an incident are associated with each other as combination data;

a counter configured to count the number of occurrences of the incident or the number of occurrences of a combination of the plurality of factors on the basis of a combination of the incident and the factors included in the combination data;

a calculator configured to calculate an index value that corresponds to a combination of the incident and the factors and changes in accordance with the number of occurrences of the combination of the incident and the factors on the basis of a result of counting of the counter; and

a generator configured to generate an image in which an image indicating the index value calculated by the calculator for each combination of the incident and the factors is associated with the combination of the incident and the factors.

13. A causal analysis method comprising:

extracting combination data from combination data in which an incident and one or a plurality of factors causing the incident are associated with each other in accordance with occurrence of combination data;

counting the number of occurrences of the incident or the number of occurrences of a combination of the plurality of factors on the basis of each combination of factors included in the combination data;

calculating an index value of the combination of the incident and the factors on the basis of a result of the counting; and

generating an image in which an image indicating the index value calculated for each combination of the incident and the factors is associated with the combination of the incident and the factors.

14. A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising instructions controlling the computer to:

extract combination data from combination data in which an incident and one or a plurality of factors causing the incident are associated with each other in accordance with occurrence of combination data;

count the number of occurrences of the incident or the number of occurrences of a combination of the plurality of factors on the basis of each combination of factors included in the combination data;

calculate an index value of the combination of the incident and the factors on the basis of a result of the counting; and

generate an image in which an image indicating the index value calculated for each combination of the incident and the factors is associated with the combination of the incident and the factors.