DocumentCode :
3425534
Title :
Visual interface for online watching of frequent itemset generation in Apriori and Eclat
Author :
Mahanti, Aniket ; Alhajj, Reda
Author_Institution :
Dept. of Comput. Sci., Calgary Univ., Alta., Canada
fYear :
2005
fDate :
15-17 Dec. 2005
Abstract :
This paper describes an interactive graphical user interface tool called Visual Apriori that can be used to study two famous frequent itemset generation algorithms, namely, Apriori and Eclat. Understanding the functional behavior of these two algorithms is critical for students taking a data mining course; and Visual Apriori provides a hands-on environment for doing so. Visual Apriori relies on active participation from the user, where one inputs a transactional database and the tool produces a tree-based frequent itemset generation animation for the algorithm chosen. Visual Apriori provides an effortless learning experience by featuring user-friendly and easy to understand controls.
Keywords :
computer aided instruction; computer animation; computer science education; data mining; data visualisation; graphical user interfaces; transaction processing; Eclat; Visual Apriori; association rule; data mining course; frequent itemset generation algorithm; interactive graphical user interface; online watching; transactional database; tree based animation; user friendly control; visual interface; Animation; Association rules; Computer science; Data mining; Graphical user interfaces; Itemsets; Spatial databases; Transaction databases; Tree graphs; Visual databases; Animation; Apriori; Eclat; Visual Apriori.; association rules; data mining; frequent itemset generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications, 2005. Proceedings. Fourth International Conference on
Print_ISBN :
0-7695-2495-8
Type :
conf
DOI :
10.1109/ICMLA.2005.68
Filename :
1607482
Link To Document :
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