Introduction

Mikhail Ju Moshkov; Marcin Piliszczuk; Beata Zielosko

doi:10.1007/978-3-540-69029-0_1

Introduction

Mikhail Ju Moshkov, Marcin Piliszczuk, Beata Zielosko

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Abstract

The subject matter of this monograph is connected with the following two problems of data mining and knowledge discovery: Representation of knowledge, contained in a decision table, in a form which is convenient for understanding. The length of knowledge description is crucial in this case. Prediction of the value of decision attribute for a new object. The accuracy of prediction is the most important aspect of this problem. These two aims (short description and high accuracy) seem to be incompatible. However, it is known that classifiers with shorter description are often more precise. This monograph is one more confirmation of this fact. © 2008 Springer-Verlag Berlin Heidelberg.

Original language	English (US)
Pages (from-to)	1-6
Number of pages	6
Journal	Studies in Computational Intelligence
Volume	145
DOIs	https://doi.org/10.1007/978-3-540-69029-0_1
State	Published - Sep 18 2008
Externally published	Yes

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Generated from Scopus record by KAUST IRTS on 2023-09-21

ASJC Scopus subject areas

Artificial Intelligence

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10.1007/978-3-540-69029-0_1

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AU - Piliszczuk, Marcin

AU - Zielosko, Beata

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PY - 2008/9/18

Y1 - 2008/9/18

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AB - The subject matter of this monograph is connected with the following two problems of data mining and knowledge discovery: Representation of knowledge, contained in a decision table, in a form which is convenient for understanding. The length of knowledge description is crucial in this case. Prediction of the value of decision attribute for a new object. The accuracy of prediction is the most important aspect of this problem. These two aims (short description and high accuracy) seem to be incompatible. However, it is known that classifiers with shorter description are often more precise. This monograph is one more confirmation of this fact. © 2008 Springer-Verlag Berlin Heidelberg.

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JO - Studies in Computational Intelligence

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ER -

Introduction

Abstract

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ASJC Scopus subject areas

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