A Study of Two Sampling Methods for Analyzing Large Datasets with ILP

This paper is concerned with problems that arise when submitting large quantities of data to analysis by an Inductive Logic Programming (ILP) system. Complexity arguments usually make it prohibitive to analyse such datasets in their entirety. We examine two schemes that allow an ILP system to constr...

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Veröffentlicht in:	Data mining and knowledge discovery Jg. 3; H. 1; S. 95 - 123
1. Verfasser:	Srinivasan, Ashwin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer Nature B.V 01.03.1999
Schlagworte:	Accuracy Algorithms Datasets Hypotheses Laboratories Language Logic programming Methods
ISSN:	1384-5810, 1573-756X
Online-Zugang:	Volltext
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