Data Mining and Knowledge Discovery

Short description: Peer-reviewed scientific journal

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Data Mining and Knowledge Discovery

|Subject |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 * 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]

## Contents

* 1 Academic status
* 2 Editors in chief
* 3 References
* 4 External links

## Academic status

Since its founding in 1997, this journal has become the most influential academic journal in the field. 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

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

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.

## External links

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

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