Title :
WiFIsViz: Effective Visualization of Frequent Itemsets
Author :
Leung, Carson Kai-Sang ; Irani, Pourang P. ; Carmichael, Christopher L.
Author_Institution :
Univ. of Manitoba, Winnipeg, MB
Abstract :
Frequent itemset mining plays an essential role in the mining of many different patterns. Most existing frequent itemset mining algorithms return the mined results--namely, frequent itemsets--in the form of textual lists. However, the use of visual representation can enhance the user understanding of the inherent relations in a collection of frequent itemsets. In this paper, we propose an effective visualizer, called WiFIsViz, to display the mined frequent itemsets. WiFIsViz provides users with an overview and details about the itemsets. Moreover, this visualizer is also equipped with several interactive features for effective visualization of the frequent itemsets mined from various real-life applications.
Keywords :
data mining; data visualisation; information retrieval; WiFIsViz; frequent itemset mining; frequent itemset visualization; visual representation; Association rules; Data mining; Data visualization; Decision trees; Displays; Frequency; Itemsets; Joining processes; Social network services; Frequent itemset mining; Frequent patterns; Visualization of mining results;
Conference_Titel :
Data Mining, 2008. ICDM '08. Eighth IEEE International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-0-7695-3502-9
DOI :
10.1109/ICDM.2008.93