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

fYear

2010

fDate

30-31 Jan. 2010

Firstpage

94

Lastpage

97

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CICC-ITOE.2010.32

Filename

5439261