Research and implementation on datamining applied to learning guidance system

Autor:	Peihua Liu, Shouning Qu, Caiyun Dong
Rok vydání:	2005
Předmět:	Apriori algorithm Association rule learning Process (engineering) Computer science Data mining Guidance system computer.software_genre computer Field (computer science)
Zdroj:	ICEC
DOI:	10.1145/1089551.1089634
Popis:	Datamining become an important field of research. However, there is an important challenge to applying the technique to real-world applications. An integrated datamining system for learning guidance is presented in this paper. It presented the datamining process in detail. More importantly, it puts forward a new enhanced method to improve the mining efficiency. Datamining applied to learning guidance provides a scientific basis for college management and decision-making.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a02ca045b0614cd1009ddc3b14b0f3bb https://doi.org/10.1145/1089551.1089634 Zobrazit plný text záznamu