Mining association rules based on cloud model and application in prediction

Autor:	Weng Yingjun, Tian Yongqing, Zhu Zhong-ying
Rok vydání:	2003
Předmět:	Association rule learning Computer science Relational database business.industry Cloud computing Data mining business computer.software_genre Categorical variable computer Computer Science::Databases
Zdroj:	Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).
DOI:	10.1109/wcica.2002.1021478
Popis:	Mining association rules in large relational databases containing both quantitative and categorical attributes is important. The article proposes an approach for mining quantitative association rules. It gives the definition of the cloud model association rules and also presents an efficient algorithm Cloud Model A, and presents an application in prediction.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ada24117293d74f1d1e8595a2afb9795 https://doi.org/10.1109/wcica.2002.1021478 Zobrazit plný text záznamu