On Generalized Quantifiers, Finite Sets and Data Mining

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SYSNO ASEP	0405004
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	On Generalized Quantifiers, Finite Sets and Data Mining
Author(s)	Hájek, Petr (UIVT-O)_{RID, SAI}
Source Title	Intelligent Information Processing and Web Mining / Klopotek M.A. ; Wierzchoň S.T. ; Trojanowski K.. - Berlin : Springer-Verlag, 2003 - ISBN 3-540-00843-8
Pages	s. 489-496
Number of pages	8 s.
Action	IIPWM'03
Event date	02.06.2003-05.06.2003
VEvent location	Zakopane
Country	PL - Poland
Event type	WRD
Language	eng - English
Country	DE - Germany
Keywords	data mining ; GUHA method ; finite model theory ; generalized quantifiers
Subject RIV	BA - General Mathematics
CEZ	1030915
UT WOS	000184365500052
DOI	10.1007/978-3-540-36562-4_52
Annotation	Local foundations of data mining are described using the apparatus of finite model theory and generalized quantifiers and in the spirit of the theory of the GUHA method of hypothesis formation. Several results on computational complexity are obtained.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2004

Number of the records: 1