Data Mining and Knowledge Discovery
 | |
| Discipline | Computer science |
|---|---|
| Language | English |
| Publication details | |
| History | 1997–present |
| Publisher | |
| Frequency | Bimonthly |
| 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 | |
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