Introduction to the special issue of the ECML PKDD 2021 journal track

Annalisa Appice; Sergio Escalera; Jose A. Gámez; Heike Trautmann

doi:10.1007/s10618-021-00792-2

Introduction to the special issue of the ECML PKDD 2021 journal track

Annalisa Appice^*, Sergio Escalera, Jose A. Gámez, Heike Trautmann

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Journal	Data Mining and Knowledge Discovery
Volume	35
Issue number	6
Pages (from-to)	2540-2541
Number of pages	2
ISSN	1384-5810
DOIs	https://doi.org/10.1007/s10618-021-00792-2
Publication status	Published - 2021
Externally published	Yes

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@article{acebca8cbf9c4afcbe6f6533294035cb,

title = "Introduction to the special issue of the ECML PKDD 2021 journal track",

author = "Annalisa Appice and Sergio Escalera and G{\'a}mez, {Jose A.} and Heike Trautmann",

year = "2021",

doi = "10.1007/s10618-021-00792-2",

language = "English",

volume = "35",

pages = "2540--2541",

journal = "Data Mining and Knowledge Discovery",

issn = "1384-5810",

publisher = "Springer",

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TY - JOUR

T1 - Introduction to the special issue of the ECML PKDD 2021 journal track

AU - Appice, Annalisa

AU - Escalera, Sergio

AU - Gámez, Jose A.

AU - Trautmann, Heike

PY - 2021

Y1 - 2021

UR - http://www.scopus.com/inward/record.url?scp=85114359749&partnerID=8YFLogxK

U2 - 10.1007/s10618-021-00792-2

DO - 10.1007/s10618-021-00792-2

M3 - Editorial

AN - SCOPUS:85114359749

SN - 1384-5810

VL - 35

SP - 2540

EP - 2541

JO - Data Mining and Knowledge Discovery

JF - Data Mining and Knowledge Discovery

IS - 6

ER -

Introduction to the special issue of the ECML PKDD 2021 journal track

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