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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Bibliographic Details

Published in:	Data mining and knowledge discovery Vol. 3; no. 1; pp. 95 - 123
Main Author:	Srinivasan, Ashwin
Format:	Journal Article
Language:	English
Published:	New York Springer Nature B.V 01.03.1999
Subjects:	Accuracy Algorithms Datasets Hypotheses Laboratories Language Logic programming Methods
ISSN:	1384-5810, 1573-756X
Online Access:	Get full text
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