Presentation | 2010-07-09 Trouble Cause Estimation Method from Past Cases in Incident Management Kuniaki SHIMADA, Yasuhide MATSUMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The maintenance cost for application and operation in the IT investment cost has exceed 70%. It is necessary to identify the trouble cause in incident management promptly to reduce this cost. In a past method, an important word extraction and the machine learning like the decision tree is used to estimate the trouble cause. In this method, there is a problem with low identification rate and accuracy when the error message is not described in a past case. Then, we propose the method for raising an identification rate and accuracy of the trouble cause. In our method, evidence information is regularized and input to the incident as tag. An identification rate has improved to 63% as a result of actually evaluation by the incident of the site where the application is maintained. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Operation Management / ITIL / Incident Management / Machine Learning / Decision Tree |
Paper # | ICM2010-22 |
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Committee | ICM |
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Conference Date | 2010/7/1(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information and Communication Management(ICM) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Trouble Cause Estimation Method from Past Cases in Incident Management |
Sub Title (in English) | |
Keyword(1) | Operation Management |
Keyword(2) | ITIL |
Keyword(3) | Incident Management |
Keyword(4) | Machine Learning |
Keyword(5) | Decision Tree |
1st Author's Name | Kuniaki SHIMADA |
1st Author's Affiliation | Research Center for Cloud Computing, Fujitsu Laboratories Ltd.() |
2nd Author's Name | Yasuhide MATSUMOTO |
2nd Author's Affiliation | Research Center for Cloud Computing, Fujitsu Laboratories Ltd. |
Date | 2010-07-09 |
Paper # | ICM2010-22 |
Volume (vol) | vol.110 |
Number (no) | 119 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |