New Fundamental technologies in Data Mining

0358973 - ÚI 2012 RIV HR eng M - Část monografie knihy
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
Grant CEP: GA MŠMT(CZ) 1M0567
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: classification * neighbor distances * correlation dimension * Zipfian distribution
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
http://www.intechopen.com/books/new-fundamental-technologies-in-data-mining/classifiers-based-on-inverted-distances

Citováno: 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]

Trvalý link: http://hdl.handle.net/11104/0196862