Data Mining and Knowledge Discovery

Peer-reviewed scientific journal
Academic journal
Data Mining and Knowledge Discovery
DisciplineComputer science
LanguageEnglish
Publication details
History1997–present
Publisher
FrequencyBimonthly
Impact factor
3.67 (2020)
Standard abbreviations
ISO 4 (alt) · Bluebook (alt1 · alt2)
NLM (alt) · MathSciNet (alt Paid subscription required)
ISO 4Data Min. Knowl. Discov.
Indexing
CODEN (alt · alt2) · JSTOR (alt) · LCCN (alt)
MIAR · NLM (alt) · Scopus
CODENDMKDFD
ISSN1384-5810 (print)
1573-756X (web)
LCCNsn98038132
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

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

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. S2CID 264014180.

External links

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