Presentation 2022-07-08
Study on data clustering efficiency for the shortage of training data for network failure response AI
LI DI, Haruhisa Nozue, Norio Yamamoto, Kenichi Tayama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # ICM2022-21
Date of Issue 2022-06-30 (ICM)

Conference Information
Committee ICM
Conference Date 2022/7/7(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Tokachi Plaza
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yuji Nomura(Fujitsu)
Vice Chair Yu Miyoshi(NTT) / Eiji Takahashi(NEC)
Secretary Yu Miyoshi(NTT) / Eiji Takahashi(Fujitsu)
Assistant Ryo Yamamoto(Univ. of Electro-Comm)

Paper Information
Registration To Technical Committee on Information and Communication Management
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study on data clustering efficiency for the shortage of training data for network failure response AI
Sub Title (in English)
Keyword(1)
1st Author's Name LI DI
1st Author's Affiliation Nippon Telegraph And Telephone Corporation(NTT)
2nd Author's Name Haruhisa Nozue
2nd Author's Affiliation Nippon Telegraph And Telephone Corporation(NTT)
3rd Author's Name Norio Yamamoto
3rd Author's Affiliation Nippon Telegraph And Telephone Corporation(NTT)
4th Author's Name Kenichi Tayama
4th Author's Affiliation Nippon Telegraph And Telephone Corporation(NTT)
Date 2022-07-08
Paper # ICM2022-21
Volume (vol) vol.122
Number (no) ICM-96
Page pp.pp.60-65(ICM),
#Pages 6
Date of Issue 2022-06-30 (ICM)