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CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 7 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
ICDM
2010
IEEE
157views Data Mining» more  ICDM 2010»
15 years 5 months ago
Privacy Violations Using Microtargeted Ads: A Case Study
In this paper we propose a new class of attacks that exploit advertising systems offering microtargeting capabilities in order to breach user privacy. We study the advertising syst...
Aleksandra Korolova
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
15 years 4 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
WWW
2008
ACM
16 years 7 months ago
A Study of User Profile Generation from Folksonomies
Recommendation systems which aim at providing relevant information to users are becoming more and more important and desirable due to the enormous amount of information available ...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...