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Paper Abstract and Keywords
Presentation 2019-11-27 13:55
[Poster Presentation] Network design support system that characterizes configurations based on information in manuals and recommends similar configurations
Yuji Kojima, Kodo Ran, Yasuhiko Aoki, Takeshi Nishiyama (FUJITSU)
Abstract (in Japanese) (See Japanese page) 
(in English) We currently face a shortage of skilled network design engineers. Improving working efficiency and design quality of non-experts through design support systems based on machine learning or other techniques is therefore an important concern. We developed a network design support system that recommends similar configuration files when an engineer creates a new design. Our system uses a dictionary extracted from the network device manual to convert dependent areas for each setting in existing configuration files into a representation that shows design characteristics. It then clusters converted configuration files (unsupervised learning) and finds similar ones. We report on the concept, implementation and experimental results of the system.
Keyword (in Japanese) (See Japanese page) 
(in English) Network Design / Configuration File / Clustering / Machine Learning / / / /  
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Conference Information
Committee RISING  
Conference Date 2019-11-26 - 2019-11-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukutake Learning Theater, Hongo Campus, Univ. Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Researches on Super-Intelligent Networking, etc. 
Paper Information
Registration To RISING 
Conference Code 2019-11-RISING 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Network design support system that characterizes configurations based on information in manuals and recommends similar configurations 
Sub Title (in English)  
Keyword(1) Network Design  
Keyword(2) Configuration File  
Keyword(3) Clustering  
Keyword(4) Machine Learning  
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1st Author's Name Yuji Kojima  
1st Author's Affiliation FUJITSU LIMITED (FUJITSU)
2nd Author's Name Kodo Ran  
2nd Author's Affiliation FUJITSU LIMITED (FUJITSU)
3rd Author's Name Yasuhiko Aoki  
3rd Author's Affiliation FUJITSU LIMITED (FUJITSU)
4th Author's Name Takeshi Nishiyama  
4th Author's Affiliation FUJITSU LIMITED (FUJITSU)
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Date Time 2019-11-27 13:55:00 
Presentation Time 50 minutes 
Registration for RISING 
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