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- Computational Statistics Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Wiley Interdisciplinary Reviews: Developmental Biology Wiley...2 KB (169 words) - 05:12, 8 November 2023
- Data Mining and Knowledge Discovery is a bimonthly peer-reviewed scientific journal focusing on data mining published by Springer Science+Business Media...3 KB (178 words) - 09:48, 5 March 2024
- Webb and Associates, and former editor-in-chief of the journal Data Mining and Knowledge Discovery. Before joining Monash University he was on the faculty...12 KB (1,061 words) - 19:42, 20 August 2024
research paper submissions below 18%. The Journal, Data Mining and Knowledge Discovery, is the primary research journal of the field. Fayyad also organized...17 KB (1,798 words) - 07:24, 13 September 2024
of Data Mining and Knowledge Discovery (DMKD), Knowledge and Information Systems (KIS), Journal of Cheminformatics (JCIS), and International Journal of...9 KB (853 words) - 23:13, 1 May 2024- In Proceedings First European Symposium on Principles of Data Mining and Knowledge Discovery. Springer. Scheffer, T., & Wrobel, S. (2002). Finding the...3 KB (399 words) - 12:58, 15 April 2021
Mining. Piatetsky also helped launch and co-edit the Data Mining and Knowledge Discovery journal.[citation needed] He authored 9 edited books and collections...13 KB (1,359 words) - 22:52, 15 June 2024
Journal of Machine Learning Research (JMLR) and the journal Data Mining and Knowledge Discovery (DMKD/DAMI). He was elected as a founding board member of the...5 KB (474 words) - 12:06, 14 August 2024- "OPTICS-OF: Identifying Local Outliers" (PDF). Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science. Vol. 1704. pp. 262–270...13 KB (1,519 words) - 08:43, 21 May 2024
- Databases: The Algorithm GDBSCAN and Its Applications". Data Mining and Knowledge Discovery. 2 (2). Berlin: Springer-Verlag: 169–194. Bibcode:1998DMKD...29 KB (3,489 words) - 18:55, 19 September 2024
- mining algorithms" (PDF). Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 8 (6): e1280. doi:10.1002/widm.1280. ISSN 1942-4787. S2CID 53305944...37 KB (3,913 words) - 14:06, 25 September 2024
- Mining in Bioinformatics". In Gaber, M. M. (ed.). Scientific Data Mining and Knowledge Discovery. Springer. doi:10.1007/978-3-642-02788-8_9. ISBN 978-3-642-02787-1...9 KB (1,122 words) - 18:28, 11 December 2023
- in data mining and knowledge discovery. He was elected as an ACM Fellow in 2018 for "contributions in feature selection for data mining and knowledge discovery...6 KB (504 words) - 07:36, 13 September 2024
pruning for elastic distances including dynamic time warping". Data Mining and Knowledge Discovery. 35 (6): 2577–2601. arXiv:2102.05221. doi:10.1007/s10618-021-00782-4...36 KB (4,325 words) - 09:18, 6 June 2024- called the CRISP-DM the "de facto standard for developing data mining and knowledge discovery projects." Other reviews of CRISP-DM and data mining process...9 KB (1,025 words) - 01:53, 26 August 2024
- the distribution (based on historical computer records), data mining and knowledge discovery techniques often replace the ideal objective of fully specifying...30 KB (3,274 words) - 00:20, 28 November 2023
- Gama, João (2010). Knowledge Discovery from Data Streams. Data Mining and Knowledge Discovery. Chapman and Hall. p. 255. ISBN 9781439826119. Lughofer,...13 KB (1,363 words) - 16:50, 2 January 2024
- Algorithms, Theory, and Applications. Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. CRC Press (Taylor & Francis, Inc.). pp. 235, 236...6 KB (327 words) - 14:29, 5 March 2024
2016-09-23. Jan M. Żytkow, Jan Rauch (2000). Principles of data mining and knowledge discovery. Springer. ISBN 978-3-540-66490-1. United Nations Statistical...9 KB (885 words) - 16:55, 4 May 2024- "Density-based clustering". Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 1 (3): 231–240. doi:10.1002/widm.30. S2CID 36920706. Mihael...16 KB (2,113 words) - 14:33, 2 December 2023
- and estimate others. This technique is very important in data mining and knowledge discovery area as it can be used as basis for more complex and powerful