Presentation 2023-01-19
Generalization of feature engineering suitable for data characteristics in machine learning
Yuichiro Sakazaki, Naruki Mitsuda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # ICM2022-38,LOIS2022-38
Date of Issue 2023-01-12 (ICM, LOIS)

Conference Information
Committee LOIS / ICM
Conference Date 2023/1/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kitakyushu International Conference Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Practical Use of Lifelog, Office Information System, Business Management, etc.
Chair Hiroyuki Toda(NTT) / Yuji Nomura(Fujitsu)
Vice Chair Manabu Motegi(Takushoku Univ.) / Yu Miyoshi(NTT) / Eiji Takahashi(NEC)
Secretary Manabu Motegi(Nagasaki Univ.) / Yu Miyoshi(NTT) / Eiji Takahashi(NTT)
Assistant Mana Sasagawa(NTT) / Ryo Yamamoto(Univ. of Electro-Comm)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems / 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) Generalization of feature engineering suitable for data characteristics in machine learning
Sub Title (in English)
Keyword(1)
1st Author's Name Yuichiro Sakazaki
1st Author's Affiliation Wakayama University Graduate School(Wakayama Univ.)
2nd Author's Name Naruki Mitsuda
2nd Author's Affiliation Wakayama University(Wakayama Univ.)
Date 2023-01-19
Paper # ICM2022-38,LOIS2022-38
Volume (vol) vol.122
Number (no) ICM-337,LOIS-338
Page pp.pp.42-47(ICM), pp.42-47(LOIS),
#Pages 6
Date of Issue 2023-01-12 (ICM, LOIS)