Title :
Utility of association rule mining: A case study using Weka tool
Author :
Lekha, A. ; Srikrishna, C.V. ; Vinod, V.
Author_Institution :
Dr M G R Educ. Res. Inst., Chennai, India
Abstract :
In this paper a few case studies pertaining to breast cancer, mushroom, larynx cancer and other datasets are studied to find the utility of association rule mining using Weka tool. Three association algorithms - Apriori, PredictiveApriori and Tertius Algorithms are employed to discuss different case studies. A comparative study of the three algorithms is also made. Further architecture for implementing the association rules on datasets using Weka is also given. The analysis reveals that although the implementation of the three algorithms gives the strong association rules they have problems with the number of cycles taken to generate the frequent itemsets, minimum support needed, memory utilized and non-numeric data.
Keywords :
data mining; Apriori algorithms; PredictiveApriori algorithms; Tertius algorithms; Weka tool; association rule mining; breast cancer; datasets; larynx cancer; mushroom; Breast; Cancer; Data mining; Diseases; Larynx; Lenses; Prediction algorithms; Apriori Algorithm; Data Mining; Predictive Apriori Algorithm; Tertius Algorithm Introduction;
Conference_Titel :
Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT), 2013 International Conference on
Conference_Location :
Tiruvannamalai
Print_ISBN :
978-1-4673-5300-7
DOI :
10.1109/ICEVENT.2013.6496554