The application of FP-array in network learning mining

Author

Luo, Xingxian ; Zhang, Zheng ; Wang, Qin

Author_Institution

Comput. Center, China West Normal Univ., Nanchong, China

Volume

2

fYear

2012

Firstpage

498

Lastpage

501

Abstract

For the large visit of the network learning system and the difficulty of analyzing the correlation of learning behaviors, a high-performance mining algorithm based on FP-array is proposed. The paper also analyzes the advantages and disadvantages of FP-max based mining algorithm. This proposed algorithm could be used to the correlated data mining of the network learning behaviors to obtain the visit frequency of the learning resources, which helps to provide important reference to the improve the network learning system.

Keywords

behavioural sciences; computer aided instruction; computer networks; data mining; resource allocation; FP-array application; FP-max based mining algorithm; correlated data mining; frequent pattern array; high-performance mining algorithm; learning behavior correlation analysis; learning resource visit frequency; network learning mining; network learning system improvement; Algorithm design and analysis; Association rules; Educational institutions; Itemsets; Vectors; Association Rule; FP-array; Frequent Item Set; Max Frequent Pattern;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on

Conference_Location

Sanya

Print_ISBN

978-1-4673-2465-6

Type

conf

DOI

10.1109/MSNA.2012.6324631

Filename

6324631