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New Fundamental technologies in Data Mining
- 1.0358973 - ÚI 2012 RIV HR eng M - Monography Chapter
Jiřina, Marcel - Jiřina jr., M.
Classifiers Based on Inverted Distances. Chapter 19.
New Fundamental technologies in Data Mining. Rijeka: InTech, 2011 - (Funatsu, K.; Hasegawa, K.), s. 369-386. ISBN 978-953-307-547-1
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : classification * neighbor distances * correlation dimension * Zipfian distribution
Subject RIV: BB - Applied Statistics, Operational Research
http://www.intechopen.com/books/new-fundamental-technologies-in-data-mining/classifiers-based-on-inverted-distances
Cited: 2
--- Hassanat, A - Abbadi, M. - Altarawneh, G. - Alhasanat, A. Solving the Problem of the K Parameter in the KNN Classifier Using an Ensemble Learning Approach. International Journal of Computer Science and Information Security. ISSN 1947-5500, 2014, vol. 12, p. 33-39.
--- CHEUNG, S.C. - CHEN, W.J. - LIU, Y.P. - XU, C. CUSTODES: Automatic Spreadsheet Cell Clustering and Smell Detection using Strong and Weak Features. 2016 IEEE/ACM 38TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE). ISSN 0270-5257, 2016, p. 464-475. [WOS]
Permanent Link: http://hdl.handle.net/11104/0196862File Download Size Commentary Version Access 0358973.pdf 0 878.8 KB Author´s preprint require
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