Data Mining and Knowledge Discovery

Peer-reviewed scientific journal

Academic journal

Data Mining and Knowledge Discovery

Discipline| Computer science
Language| English
Publication details
History| 1997–present
Publisher|

Springer Science+Business Media

Frequency| Bimonthly

Impact factor

| 3.67 (2020)
Standard abbreviations
ISO 4 (alt) * Bluebook (alt1 * alt2)
NLM (alt) * MathSciNet (alt )
ISO 4| Data Min. Knowl. Discov.
Indexing
CODEN (alt * alt2) * JSTOR (alt) * LCCN (alt)
MIAR * NLM (alt) * Scopus
CODEN| DMKDFD
ISSN| 1384-5810 (print)
1573-756X (web)

LCCN| sn98038132
OCLC no.| 38037443
Links

* Journal homepage
* Online access
* Online first articles

Data Mining and Knowledge Discovery is a bimonthly peer-reviewed scientific journal focusing on data mining published by Springer Science+Business Media. It was started in 1996 and launched in 1997 by Usama Fayyad as founding Editor-in-Chief by Kluwer Academic Publishers (later becoming Springer). The first Editorial provides a summary of why it was started.[1]

## Academic status

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Since its founding in 1997, this journal has become the most influential academic journal in the field.[citation needed] Each year, it currently publishes about 60 articles in six issues. It has one of the highest index ratings and is considered authoritative academically.

## Editors in chief

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The following individuals have served as editor-in-chief of the journal:

* 2023-: Eyke Hüllermeier
* 2015–2023: Johannes Fürnkranz
* 2005–2014: Geoffrey I. Webb
* 1997–2004: Usama Fayyad, Heikki Mannila
* 2000–2004 with Raghu Ramakrishnan
* 1997–1998 with Gregory Piatetsky-Shapiro

## References

[edit]

1. ^ Fayyad, Usama (1 July 1997). "Editorial - First issue of the journal". Data Mining and Knowledge Discovery. 1 (1): 5. doi:10.1023/A:1009715820935. S2CID 264014180.

## External links

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* Official website
* Data Mining and Knowledge Discovery at DBLP Bibliography Server