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Christopher L. Carmichael

dblp:88/2037 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3Artificial intelligence and machine learning · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data mining · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › pattern mining › itemset mining
frequent itemset mining
0.112008
WiFIsViz: Effective Visualization of Frequent Itemsets · ICDM 2008
Data mining
pattern mining
0.112008
WiFIsViz: Effective Visualization of Frequent Itemsets · ICDM 2008
Visualization and visual analytics › visual analytics › exploratory data analysis
visual data mining
0.112008
WiFIsViz: Effective Visualization of Frequent Itemsets · ICDM 2008

Methods — techniques the papers use, named apart from their topics

interactive visualization · 0.2
YearPublicationVenuePosition
2016 Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns
Carson K. Leung, Christopher L. Carmichael, Yaroslav Hayduk, Fan Jiang 0001, Vadim V. Kononov, Adam G. M. Pazdor
ECML/PKDD (3)2
2008 WiFIsViz: Effective Visualization of Frequent Itemsets
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.
Carson K. Leung, Pourang Irani, Christopher L. Carmichael
ICDM3
2008 FIsViz: A Frequent Itemset Visualizer
Carson K. Leung, Pourang Irani, Christopher L. Carmichael
PAKDD3