Mining Critical Least Association Rules from Students Suffering Study Anxiety Datasets

Mining Critical Least Association Rules from Students Suffering Study Anxiety Datasets

In data mining, association rules mining is one of the common and popular techniques used in various domain applications. The purpose of this study is to apply an enhanced association rules mining method, so called significant least pattern growth for capturing interesting rules from students suffer...

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Bibliographic Details
Main Authors: Tutut, Herawan, Haruna, Chiroma, Prima, Vitasari, Zailani, Abdullah, Maizatul Akmar, Ismail, Mohd Khalit, Othman
Format: Article
Language:English
Published: Springer 2015
Subjects:
Q Science (General)
QA75 Electronic computers. Computer science
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/12361/
http://umpir.ump.edu.my/id/eprint/12361/
http://umpir.ump.edu.my/id/eprint/12361/
http://umpir.ump.edu.my/id/eprint/12361/1/Mining%20Critical%20Least%20Association%20Rules%20from%20Students%20Suffering%20Study%20Anxiety%20Darasets.pdf

Internet

http://umpir.ump.edu.my/id/eprint/12361/
http://umpir.ump.edu.my/id/eprint/12361/
http://umpir.ump.edu.my/id/eprint/12361/
http://umpir.ump.edu.my/id/eprint/12361/1/Mining%20Critical%20Least%20Association%20Rules%20from%20Students%20Suffering%20Study%20Anxiety%20Darasets.pdf

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