Intelligent Association Rules for Innovative SME Collaboration

被引：0

作者：

Kayakutlu, Gulgun ^{[1
]}

Duzdar, Irem ^{[2
]}

Mercier-Laurent, Eunika ^{[3
]}

机构：

[1] Istanbul Tech Univ, Dept Ind Engn, TR-34367 Istanbul, Turkey

[2] Istanbul Arel Univ, Dept Ind Engn, TR-34537 Tepekent Istanbul, Turkey

[3] Univ Lyon 3, IAE, Lyon, France

来源：

FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2014 | 2014年 / 2卷

关键词：

Collaborative Innovation; Association Rules; SVM; SOM; RESEARCH-AND-DEVELOPMENT;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

SMEs are encouraged to collaborate for research and innovation in order to survive in tough global competition. Even the technology SMEs with high knowledge capital have the fear to collaborate with other SMEs or bigger companies. This study aims to illuminate the preferences in customer, supplier and competitor collaboration within industry or inter industry. A survey is run on more than 110 companies and Machine Learning methods are used to define the association rules that will lead for success.

引用

页码：1391 / 1396

页数：6

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