DocumentCode :
245430
Title :
A Visualizer for High Utility Itemset Mining
Author :
Wei Song ; Mingyuan Liu
Author_Institution :
Coll. of Comput., North China Univ. of Technol., Beijing, China
fYear :
2014
fDate :
19-21 Dec. 2014
Firstpage :
244
Lastpage :
248
Abstract :
Mining high utility item sets is one of the most important research issues in data mining owing to its ability to consider nonbinary frequency values of items in transactions and different profit values for each item. Although several studies have been carried out, current methods present the mined results in the form of textual lists for users, which degrades the understand ability of the discovered high utility item sets. To address this issue, we propose an effective visualizer, namely HUIViz (High Utility Item set Visualizer), for displaying the mined high utility item sets. HUIViz provides users with an overview as well as details about the item sets. Moreover, the visualizer is also equipped with several interactive features for effective visualization of high utility item sets. More importantly, as the discovery process of high utility item set is composed of two phases, HUIViz shows results of two stages in two views of one screen. Thus, the changes from the temporal results stage to the final results stage can be displayed clearly. The evaluation conducted on both synthetic and real datasets show that the proposed visualizer is effective.
Keywords :
data mining; data visualisation; HUIViz visualizer; data mining; data visualization; frequency values; high utility itemset mining; textual list; Association rules; Color; Data visualization; Image color analysis; Itemsets; Visualization; data mining; high utility itemset; interaction; visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
Type :
conf
DOI :
10.1109/CSE.2014.75
Filename :
7023586
Link To Document :
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