Data Mining and Knowledge Discovery
Discipline | Computer science |
---|---|
Language | English |
Publication details | |
History | 1997–present |
Publisher | |
Frequency | Bimonthly |
3.16 (2016) | |
Standard abbreviations | |
ISO 4 | Data Min. Knowl. Discov. |
Indexing | |
CODEN | DMKDFD |
ISSN | 1384-5810 (print) 1573-756X (web) |
LCCN | sn98038132 |
OCLC no. | 38037443 |
Links | |
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:
- 2015–present: 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[]
- ^ 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
Categories:
- Computer science journals
- Data mining
- Springer Science+Business Media academic journals
- Publications established in 1997
- English-language journals
- Bimonthly journals