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205
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ICDM
2009
IEEE
134views Data Mining» more  ICDM 2009»
15 years 5 months ago
Efficient Discovery of Confounders in Large Data Sets
Given a large transaction database, association analysis is concerned with efficiently finding strongly related objects. Unlike traditional associate analysis, where relationships ...
Wenjun Zhou, Hui Xiong
197
Voted
ICWE
2009
Springer
15 years 5 months ago
Fine-Grained Analysis of Web Tasks through Data Visualization
Abstract. This paper presents an approach for monitoring several important aspects related to user behaviour during the execution of Web tasks1 . The approach includes the tracking...
Gennaro Costagliola, Vittorio Fuccella
SAC
2011
ACM
14 years 10 months ago
Towards discovering criminal communities from textual data
In many criminal cases, forensically collected data contain valuable information about a suspect’s social networks. An investigator often has to manually extract information fro...
Rabeah Al-Zaidy, Benjamin C. M. Fung, Amr M. Youss...
211
Voted
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 7 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
210
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SISAP
2009
IEEE
122views Data Mining» more  SISAP 2009»
16 years 2 months ago
Dynamic Spatial Approximation Trees for Massive Data
—Metric space searching is an emerging technique to address the problem of efficient similarity searching in many applications, including multimedia databases and other reposito...
Gonzalo Navarro, Nora Reyes