Exploring uplift modeling with high class imbalance

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	Data Mining and Knowledge Discovery
Volume	37
Pages (from-to)	736–766
Number of pages	31
ISSN	1384-5810
DOIs	https://doi.org/10.1007/s10618-023-00917-9
Publication status	Published - 23 Jan 2023
MoE publication type	A1 Journal article-refereed

Fields of Science

@article{732726f8bd514c1880538be7254c51d2,

title = "Exploring uplift modeling with high class imbalance",

keywords = "Heterogeneous treatment effect, High class imbalance, Undersampling, Uplift modeling, 113 Computer and information sciences",

author = "Otto Nyberg and Arto Klami",

year = "2023",

month = jan,

day = "23",

doi = "10.1007/s10618-023-00917-9",

language = "English",

volume = "37",

pages = "736–766",

journal = "Data Mining and Knowledge Discovery",

issn = "1384-5810",

publisher = "Springer Netherlands",

}

TY - JOUR

T1 - Exploring uplift modeling with high class imbalance

AU - Nyberg, Otto

AU - Klami, Arto

PY - 2023/1/23

Y1 - 2023/1/23

KW - Heterogeneous treatment effect

KW - High class imbalance

KW - Undersampling

KW - Uplift modeling

KW - 113 Computer and information sciences

U2 - 10.1007/s10618-023-00917-9

DO - 10.1007/s10618-023-00917-9

M3 - Article

SN - 1384-5810

VL - 37

SP - 736

EP - 766

JO - Data Mining and Knowledge Discovery

JF - Data Mining and Knowledge Discovery

ER -