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KDD
2008
ACM
138views Data Mining» more  KDD 2008»
16 years 7 days ago
A visual-analytic toolkit for dynamic interaction graphs
In this article we describe a visual-analytic tool for the interrogation of evolving interaction network data such as those found in social, bibliometric, WWW and biological appli...
Xintian Yang, Sitaram Asur, Srinivasan Parthasarat...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 7 days ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 7 days ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
16 years 7 days ago
Eliminating noisy information in Web pages for data mining
A commercial Web page typically contains many information blocks. Apart from the main content blocks, it usually has such blocks as navigation panels, copyright and privacy notice...
Lan Yi, Bing Liu, Xiaoli Li
CHI
2008
ACM
16 years 7 days ago
Understanding and characterizing insights: how do people gain insights using information visualization?
Even though "providing insight" has been considered one of the main purposes of information visualization (InfoVis), we feel that insight is still a not-well-understood ...
Ji Soo Yi, Youn ah Kang, John T. Stasko, Julie A. ...
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