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» Combining Two Data Mining Methods for System Identification
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EDBTW
2010
Springer
14 years 2 months ago
A practice-oriented framework for measuring privacy and utility in data sanitization systems
Published data is prone to privacy attacks. Sanitization methods aim to prevent these attacks while maintaining usefulness of the data for legitimate users. Quantifying the trade-...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
14 years 8 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester
KDD
2008
ACM
155views Data Mining» more  KDD 2008»
14 years 8 months ago
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren
KDD
2009
ACM
161views Data Mining» more  KDD 2009»
14 years 2 months ago
Interactive spatio-temporal cluster analysis of VAST challenge 2008 datasets
We describe a visual analytics method supporting the analysis of two different types of spatio-temporal data, point events and trajectories of moving agents. The method combines c...
Gennady L. Andrienko, Natalia V. Andrienko
AIR
2000
91views more  AIR 2000»
13 years 7 months ago
PlanMine: Predicting Plan Failures Using Sequence Mining
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because p...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara