Framework of Service-Oriented Manufacturing Based on Multi-relational Data Stream Mining

Author

Deng, Hong ; Wang, Ying-long ; Yang, Jun ; Feng, Liang-qing

Author_Institution

china Key Lab. of Agric. Inf. Technol., Jiangxi Agric. Univ., Nanchang, China

fYear

2012

fDate

11-13 Aug. 2012

Firstpage

1427

Lastpage

1430

Abstract

The distributive, concurrency and dynamic characteristics of service-oriented manufacturing model determine the activities of service-oriented manufacturing are in the environment of multi-relational data streams. In order to improve the service-oriented manufacturers´ decision-making capacity, parallel efficiency and ability to adapt to the environment of multi-relational data streams, a framework of service-oriented manufacturing based on multi-relational data stream mining was proposed. According to the concept of multi-relational data stream and requirements for building framework, a framework of conceptual models was proposed, and the architecture of framework was established on the base of its conceptual model.

Keywords

data mining; decision making; manufacturing systems; production engineering computing; service-oriented architecture; conceptual model; decision-making capacity; multirelational data stream mining; parallel efficiency; service-oriented manufacturing model; Clustering algorithms; Data mining; Data models; Decision making; Manufacturing; Mathematical model; framework; multi-relational data stream mining; service-oriented manufacturing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Service System (CSSS), 2012 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0721-5

Type

conf

DOI

10.1109/CSSS.2012.359

Filename

6394597