Computational Enhancements in Tree-Growing Methods

0403389 - UIVT-O 980049 RIV DE eng C - Conference Paper (international conference)
Klaschka, Jan - Siciliano, R. - Antoch, J.
Computational Enhancements in Tree-Growing Methods.
Advances in Data Science and Classification. Berlin: Springer, 1998 - (Rizzi, A.; Vichi, M.; Bock, H.), s. 295-302. ISBN 3-540-64641-8.
[IFCS-98 /6./. Roma (IT), 21.07.1998-24.07.1998]
R&D Projects: GA ČR GA201/97/1163
Grant - others:MŽP(CZ) ZZ/520/2/97
Program: ZZ
Keywords : classification and regression trees * computational cost * auxiliary statistics * fast splitting algorithm
Subject RIV: BB - Applied Statistics, Operational Research

Cited: 4

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--- CAPPELLI, C. - MOLA, F. - SICILIANO, R. A statistical approach to growing a reliable honest tree. COMPUTATIONAL STATISTICS & DATA ANALYSIS. ISSN 0167-9473, JAN 28 2002, vol. 38, no. 3, p. 285-299. [WOS]
--- SICILIANO, R. - MOLA, F. Multivariate data analysis and modeling through classification and regression trees. COMPUTATIONAL STATISTICS & DATA ANALYSIS. ISSN 0167-9473, JAN 28 2000, vol. 32, no. 3-4, p. 285-301. [WOS]
--- CONVERSANO, C. - MOLA, R. - SICILIANO, R. Partitioning algorithms and combined model integration for data mining. COMPUTATIONAL STATISTICS. ISSN 0943-4062, 2001, vol. 16, no. 3, p. 323-339. [WOS]

Permanent Link: http://hdl.handle.net/11104/0123699