Title :
The application of improved Fp-growth algorithm in online test system
Author :
Wen, Chen ; Lan, Nu
Author_Institution :
Dept. of Math. & Comput. Sci., Tongling Coll., Tongling, China
Abstract :
Based on Fp-growth algorithm framework, association rules mining with probability has been proposed under the situations of uneven distribution items in random draw-out test. Moreover, the association rule evaluation method applied in experimental results are presented to demonstrate its accuracy and effectiveness.
Keywords :
data mining; probability; Fp-growth algorithm; association rule evaluation; association rule mining; online test system; probability; uneven distribution items; Association rules; Computer applications; Educational institutions; Mathematics; Software; association rule evaluation; association rules; online test system;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057203
