A genetic network programming based method to mine generalized association rules with ontology

Guangfei Yang; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu

doi:10.1109/SICE.2007.4421450

A genetic network programming based method to mine generalized association rules with ontology

Guangfei Yang^*, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu

^*Corresponding author for this work

Graduate School of Information, Production and Systems

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

1 Citation (Scopus)

Abstract

In this paper, we propose a Genetic Network Programming based method to mine generalized association rules with ontology. We first introduce ontology to facilitate building the multi concept layers and propose Dynamic Threshold Approach (DTA) to equalize the different layers. We make use of an evolutionary computation method Genetic Network Programming (GNP) to mine the rules. Two kinds of fitness functions each with four kinds of policies and a new genetic operator are developed to speed up searching the rule space.

Original language	English
Title of host publication	SICE Annual Conference, SICE 2007
Pages	2715-2722
Number of pages	8
DOIs	https://doi.org/10.1109/SICE.2007.4421450
Publication status	Published - 2007 Dec 1
Event	SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan Duration: 2007 Sept 17 → 2007 Sept 20

Publication series

Name	Proceedings of the SICE Annual Conference

Conference

Conference	SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
Country/Territory	Japan
City	Takamatsu
Period	07/9/17 → 07/9/20

Keywords

Dynamic threshold approach
Generalized association rules
Genetic network programming
Ontology

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/SICE.2007.4421450

Cite this

Yang, G, Shimada, K, Mabu, S, Hirasawa, K & Hu, J 2007, A genetic network programming based method to mine generalized association rules with ontology. in SICE Annual Conference, SICE 2007., 4421450, Proceedings of the SICE Annual Conference, pp. 2715-2722, SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007, Takamatsu, Japan, 07/9/17. https://doi.org/10.1109/SICE.2007.4421450

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title = "A genetic network programming based method to mine generalized association rules with ontology",

abstract = "In this paper, we propose a Genetic Network Programming based method to mine generalized association rules with ontology. We first introduce ontology to facilitate building the multi concept layers and propose Dynamic Threshold Approach (DTA) to equalize the different layers. We make use of an evolutionary computation method Genetic Network Programming (GNP) to mine the rules. Two kinds of fitness functions each with four kinds of policies and a new genetic operator are developed to speed up searching the rule space.",

keywords = "Dynamic threshold approach, Generalized association rules, Genetic network programming, Ontology",

author = "Guangfei Yang and Kaoru Shimada and Shingo Mabu and Kotaro Hirasawa and Jinglu Hu",

year = "2007",

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doi = "10.1109/SICE.2007.4421450",

language = "English",

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series = "Proceedings of the SICE Annual Conference",

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AU - Shimada, Kaoru

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AU - Hirasawa, Kotaro

AU - Hu, Jinglu

PY - 2007/12/1

Y1 - 2007/12/1

N2 - In this paper, we propose a Genetic Network Programming based method to mine generalized association rules with ontology. We first introduce ontology to facilitate building the multi concept layers and propose Dynamic Threshold Approach (DTA) to equalize the different layers. We make use of an evolutionary computation method Genetic Network Programming (GNP) to mine the rules. Two kinds of fitness functions each with four kinds of policies and a new genetic operator are developed to speed up searching the rule space.

AB - In this paper, we propose a Genetic Network Programming based method to mine generalized association rules with ontology. We first introduce ontology to facilitate building the multi concept layers and propose Dynamic Threshold Approach (DTA) to equalize the different layers. We make use of an evolutionary computation method Genetic Network Programming (GNP) to mine the rules. Two kinds of fitness functions each with four kinds of policies and a new genetic operator are developed to speed up searching the rule space.

KW - Dynamic threshold approach

KW - Generalized association rules

KW - Genetic network programming

KW - Ontology

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SN - 9784907764289

T3 - Proceedings of the SICE Annual Conference

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BT - SICE Annual Conference, SICE 2007

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A genetic network programming based method to mine generalized association rules with ontology

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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