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» Providing k-anonymity in data mining
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WWW
2007
ACM
14 years 8 months ago
A novel collaborative filtering-based framework for personalized services in m-commerce
With the rapid growth of wireless technologies and handheld devices, m-commerce is becoming a promising research area. Personalization is especially important to the success of mc...
Qiudan Li, Chunheng Wang, Guanggang Geng, Ruwei Da...
WWW
2006
ACM
14 years 8 months ago
Probabilistic models for discovering e-communities
The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...
SDM
2009
SIAM
124views Data Mining» more  SDM 2009»
14 years 4 months ago
Non-parametric Information-Theoretic Measures of One-Dimensional Distribution Functions from Continuous Time Series.
We study non-parametric measures for the problem of comparing distributions, which arise in anomaly detection for continuous time series. Non-parametric measures take two distribu...
Ali Dasdan, Paolo D'Alberto
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
14 years 4 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
CCS
2009
ACM
14 years 2 months ago
Finding "hidden" connections on linkedIn an argument for more pragmatic social network privacy
Social networking services well know that some users are unwilling to freely share the information they store with the service (e.g. profile information). To address this, servic...
Jessica Staddon