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» Approximate data mining in very large relational data
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KDD
2012
ACM
220views Data Mining» more  KDD 2012»
13 years 4 months ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
15 years 7 months ago
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
Traditional association rules mining cannot meet the demands arising from some real applications. By considering the different values of individual items as utilities, utility mini...
Ying Liu, Wei-keng Liao, Alok N. Choudhary
SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
15 years 3 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
15 years 11 months ago
On the Comparison of Relative Clustering Validity Criteria.
Many different relative clustering validity criteria exist that are very useful in practice as quantitative measures for evaluating the quality of data partitions, and new criter...
Lucas Vendramin, Ricardo J. G. B. Campello, Eduard...
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 7 months ago
Semantic representation: search and mining of multimedia content
Semantic understanding of multimedia content is critical in enabling effective access to all forms of digital media data. By making large media repositories searchable, semantic ...
Apostol Natsev, Milind R. Naphade, John R. Smith