Data_Mining_and_Knowledge_Discovery Knowpia

*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	Data Min. Knowl. Discov.
Indexing;
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 edit

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 edit

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

^ 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 edit

Official website
Data Mining and Knowledge Discovery at DBLP Bibliography Server

[DMKD-journal-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.

[1]

Summary

Academic status edit

Editors in chief edit

References edit

External links edit