- Source: Data Mining and Knowledge Discovery
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.
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
External links
Official website
Data Mining and Knowledge Discovery at DBLP Bibliography Server
Kata Kunci Pencarian:
- Penggalian data
- Penambangan data pendidikan
- RapidMiner
- Faktor pencilan setempat
- Pengklasteran k rata-rata
- Mesin pencari
- Perangkat lunak antivirus
- Maratonton
- Paksiwisata
- Kotak info
- Data mining
- Data Mining and Knowledge Discovery
- Data stream mining
- Text mining
- Cross-industry standard process for data mining
- Special Interest Group on Knowledge Discovery and Data Mining
- Domain driven data mining
- Educational data mining
- Social media mining
- DBSCAN
The Leopard (1963)
The Last Samurai (2003)
The Forge (2024)
Siege (Asedio) (2023)
Smurfs: The Lost Village (2017)
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