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110
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KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 3 months ago
eTrust: understanding trust evolution in an online world
Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists...
Jiliang Tang, Huan Liu, Huiji Gao, Atish Das Sarma...
99
Voted
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
15 years 7 months ago
A Framework for Computing the Privacy Scores of Users in Online Social Networks
—A large body of work has been devoted to address corporate-scale privacy concerns related to social networks. The main focus was on how to share social networks owned by organiz...
Kun Liu, Evimaria Terzi
118
Voted
ICDM
2006
IEEE
155views Data Mining» more  ICDM 2006»
15 years 6 months ago
Automatic Single-Organ Segmentation in Computed Tomography Images
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D...
CLEIEJ
2004
168views more  CLEIEJ 2004»
15 years 18 days ago
Contributions of KDD to the Knowledge Management Process: a Case Study
Knowledge Discovery in Databases (KDD), as any organizational process, is carried out beneath a Knowledge Management (KM) model adopted (even informally) by a corporation. KDD is ...
Paulo de Tarso Costa de Sousa, Hércules Ant...
99
Voted
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 10 months ago
Tracking User Mobility to Detect Suspicious Behavior.
Popularity of mobile devices is accompanied by widespread security problems, such as MAC address spoofing in wireless networks. We propose a probabilistic approach to temporal an...
Gaurav Tandon, Philip K. Chan