Categorization and construction of rule based systems

Han Liu; Alexander Gegov; Frederic Stahl

doi:10.1007/978-3-319-11071-4_18

Categorization and construction of rule based systems

Han Liu, Alexander Gegov, Frederic Stahl

University of Reading

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

701 Downloads (Pure)

Abstract

Expert systems have been increasingly popular for commercial importance. A rule based system is a special type of an expert system, which consists of a set of ‘if-then’ rules and can be applied as a decision support system in many areas such as healthcare, transportation and security. Rule based systems can be constructed based on both expert knowledge and data. This paper aims to introduce the theory of rule based systems especially on categorization and construction of such systems from a conceptual point of view. This paper also introduces rule based systems for classification tasks in detail.

Original language	English
Title of host publication	Engineering applications of neural networks
Subtitle of host publication	15th international conference on engineering applications of neural networks (EANN 2014)
Editors	Valeri Mladenov, Chrisina Jayne, Lazaros Iliadis
Place of Publication	Cham
Publisher	Springer
Pages	183-194
ISBN (Electronic)	9783319110714
ISBN (Print)	9783319110707
DOIs	https://doi.org/10.1007/978-3-319-11071-4_18
Publication status	Published - 2014
Event	15th Engineering Applications of Neural Networks International Conference - Technical University of Sofia, Sofia, Bulgaria Duration: 5 Sept 2014 → 7 Sept 2014 Conference number: 15

Publication series

Name	Communications in computer and information science
Publisher	Spriner
Volume	459
ISSN (Print)	1865-0929

Conference

Conference	15th Engineering Applications of Neural Networks International Conference
Abbreviated title	EANN 2014
Country/Territory	Bulgaria
City	Sofia
Period	5/09/14 → 7/09/14

Keywords

Data Mining
Machine Learning
Rule Based Systems
Rule Based Classification
If-then Rules

Access to Document

10.1007/978-3-319-11071-4_18

EANN2014_038Accepted author manuscript (Post-print), 301 KBLicence: Unspecified

http://link.springer.com/chapter/10.1007/978-3-319-11071-4_18

Cite this

Liu, H., Gegov, A., & Stahl, F. (2014). Categorization and construction of rule based systems. In V. Mladenov, C. Jayne, & L. Iliadis (Eds.), Engineering applications of neural networks: 15th international conference on engineering applications of neural networks (EANN 2014) (pp. 183-194). (Communications in computer and information science; Vol. 459). Springer. https://doi.org/10.1007/978-3-319-11071-4_18

Liu, Han ; Gegov, Alexander ; Stahl, Frederic. / Categorization and construction of rule based systems. Engineering applications of neural networks: 15th international conference on engineering applications of neural networks (EANN 2014). editor / Valeri Mladenov ; Chrisina Jayne ; Lazaros Iliadis. Cham : Springer, 2014. pp. 183-194 (Communications in computer and information science).

@inproceedings{95cdf29a98714ef584cfe415fd2789d5,

title = "Categorization and construction of rule based systems",

abstract = "Expert systems have been increasingly popular for commercial importance. A rule based system is a special type of an expert system, which consists of a set of {\textquoteleft}if-then{\textquoteright} rules and can be applied as a decision support system in many areas such as healthcare, transportation and security. Rule based systems can be constructed based on both expert knowledge and data. This paper aims to introduce the theory of rule based systems especially on categorization and construction of such systems from a conceptual point of view. This paper also introduces rule based systems for classification tasks in detail.",

keywords = "Data Mining, Machine Learning, Rule Based Systems, Rule Based Classification, If-then Rules",

author = "Han Liu and Alexander Gegov and Frederic Stahl",

year = "2014",

doi = "10.1007/978-3-319-11071-4_18",

language = "English",

isbn = "9783319110707",

series = "Communications in computer and information science",

publisher = "Springer",

pages = "183--194",

editor = "Valeri Mladenov and Chrisina Jayne and Lazaros Iliadis",

booktitle = "Engineering applications of neural networks",

note = "15th Engineering Applications of Neural Networks International Conference, EANN 2014 ; Conference date: 05-09-2014 Through 07-09-2014",

}

Liu, H, Gegov, A & Stahl, F 2014, Categorization and construction of rule based systems. in V Mladenov, C Jayne & L Iliadis (eds), Engineering applications of neural networks: 15th international conference on engineering applications of neural networks (EANN 2014). Communications in computer and information science, vol. 459, Springer, Cham, pp. 183-194, 15th Engineering Applications of Neural Networks International Conference, Sofia, Bulgaria, 5/09/14. https://doi.org/10.1007/978-3-319-11071-4_18

Categorization and construction of rule based systems. / Liu, Han; Gegov, Alexander; Stahl, Frederic.
Engineering applications of neural networks: 15th international conference on engineering applications of neural networks (EANN 2014). ed. / Valeri Mladenov; Chrisina Jayne; Lazaros Iliadis. Cham: Springer, 2014. p. 183-194 (Communications in computer and information science; Vol. 459).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Categorization and construction of rule based systems

AU - Liu, Han

AU - Gegov, Alexander

AU - Stahl, Frederic

N1 - Conference code: 15

PY - 2014

Y1 - 2014

N2 - Expert systems have been increasingly popular for commercial importance. A rule based system is a special type of an expert system, which consists of a set of ‘if-then’ rules and can be applied as a decision support system in many areas such as healthcare, transportation and security. Rule based systems can be constructed based on both expert knowledge and data. This paper aims to introduce the theory of rule based systems especially on categorization and construction of such systems from a conceptual point of view. This paper also introduces rule based systems for classification tasks in detail.

AB - Expert systems have been increasingly popular for commercial importance. A rule based system is a special type of an expert system, which consists of a set of ‘if-then’ rules and can be applied as a decision support system in many areas such as healthcare, transportation and security. Rule based systems can be constructed based on both expert knowledge and data. This paper aims to introduce the theory of rule based systems especially on categorization and construction of such systems from a conceptual point of view. This paper also introduces rule based systems for classification tasks in detail.

KW - Data Mining

KW - Machine Learning

KW - Rule Based Systems

KW - Rule Based Classification

KW - If-then Rules

U2 - 10.1007/978-3-319-11071-4_18

DO - 10.1007/978-3-319-11071-4_18

M3 - Conference contribution

SN - 9783319110707

T3 - Communications in computer and information science

SP - 183

EP - 194

BT - Engineering applications of neural networks

A2 - Mladenov, Valeri

A2 - Jayne, Chrisina

A2 - Iliadis, Lazaros

PB - Springer

CY - Cham

T2 - 15th Engineering Applications of Neural Networks International Conference

Y2 - 5 September 2014 through 7 September 2014

ER -

Liu H, Gegov A, Stahl F. Categorization and construction of rule based systems. In Mladenov V, Jayne C, Iliadis L, editors, Engineering applications of neural networks: 15th international conference on engineering applications of neural networks (EANN 2014). Cham: Springer. 2014. p. 183-194. (Communications in computer and information science). doi: 10.1007/978-3-319-11071-4_18

Categorization and construction of rule based systems

Abstract

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Keywords

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