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R.: Visual Interface for Online Watching of Frequent Itemset Generation in Apriori and Eclat (2005)
| Venue: | In Proc. IEEE International Conference on Machine Learning and Applications |
| Citations: | 2 - 0 self |
BibTeX
@INPROCEEDINGS{Mahanti05r.:visual,
author = {Aniket Mahanti and Reda Alhajj},
title = {R.: Visual Interface for Online Watching of Frequent Itemset Generation in Apriori and Eclat},
booktitle = {In Proc. IEEE International Conference on Machine Learning and Applications},
year = {2005}
}
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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.
Keyphrases
online watching visual apriori visual interface frequent itemset generation effortless learning experience active participation tree-based frequent itemset generation animation visual apriori relies functional behavior data mining course hands-on environment transactional database interactive graphical user interface tool famous frequent itemset generation algorithm algorithm chosen
