Title :
Study on Mining Theories of Association Rules and Its Application
Author :
Xing Xue ; Chen Yao ; Wang Yan-en
Author_Institution :
Sch. of Manage., Xi´an Univ. of Archit. & Technol., Xi´an, China
Abstract :
This paper focus on the association rules which applied in data mining that aims to analyze large source data and reveal knowledge hidden in the database. The paper presents the principle of association rules in data mining. It has been viewed as an important evolution in information processing. This paper applies association rules mining to the software of examination paper evaluation system, obtaining the useful information which is hidden in the database. It´s concluded that the algorithm provides a valuable analysis of information to the examination paper evaluation system.
Keywords :
data mining; educational administrative data processing; association rules; data mining; examination paper evaluation system; information processing; mining theories; Association rules; Computer science; Data analysis; Data mining; Databases; Electronic mail; Information analysis; Inventory management; Itemsets; Mechatronics; application; association rules; examination paper evaluation system; software;
Conference_Titel :
Innovative Computing & Communication, 2010 Intl Conf on and Information Technology & Ocean Engineering, 2010 Asia-Pacific Conf on (CICC-ITOE)
Conference_Location :
Macao
Print_ISBN :
978-1-4244-5634-5
Electronic_ISBN :
978-1-4244-5635-2
DOI :
10.1109/CICC-ITOE.2010.32
