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KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 9 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
CORR
2012
Springer
227views Education» more  CORR 2012»
12 years 4 months ago
Trajectory and Policy Aware Sender Anonymity in Location Based Services
We consider Location-based Service (LBS) settings, where a LBS provider logs the requests sent by mobile device users over a period of time and later wants to publish/share these ...
Alin Deutsch, Richard Hull, Avinash Vyas, Kevin Ke...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 9 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 8 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
WWW
2007
ACM
14 years 9 months ago
Fostering Knowledge Evolution through Community-based Participation
The ontology development process is typically led by single or small groups of experts, with users mostly playing a passive role. Such an elitist approach in building ontologies h...
Domenico Gendarmi, Fabio Abbattista, Filippo Lanub...