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A Visualizer for High Utility Itemset Mining

Authors: Wei Song 0004; Mingyuan Liu;

A Visualizer for High Utility Itemset Mining

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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