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Authors: Grete Lind and Rein Kuusik

Affiliation: Tallinn University of Technology, Estonia

ISBN: 978-989-8565-10-5

Keyword(s): Knowledge Discovery, Data Mining, Classification, Rule, Data Description, Universal Hypotheses Generator.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: We know that the task of Machine Learning (ML) is defined as finding of rules for the class on the basis of learning examples for classification of unknown object(s). But we can use rules also for describing the class data– who/what are they? which is the task of Data Analysis and Data Mining. There are several methods for solving this task, for example, Determination Analysis (DA) and Generator of Hypotheses (GH). In the paper we describe an idea for Universal Generator of Hypotheses, the complex method which can solve the tasks of DA and GH and several new ones.

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Paper citation in several formats:
Lind, G. and Kuusik, R. (2012). An Idea for Universal Generator of Hypotheses.In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-10-5, pages 169-174. DOI: 10.5220/0004097101690174

@conference{iceis12,
author={Grete Lind. and Rein Kuusik.},
title={An Idea for Universal Generator of Hypotheses},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2012},
pages={169-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004097101690174},
isbn={978-989-8565-10-5},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - An Idea for Universal Generator of Hypotheses
SN - 978-989-8565-10-5
AU - Lind, G.
AU - Kuusik, R.
PY - 2012
SP - 169
EP - 174
DO - 10.5220/0004097101690174

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