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KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 6 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
JNW
2008
126views more  JNW 2008»
15 years 6 months ago
Securing Wireless Sensor Networks: Security Architectures
Wireless sensor networking remains one of the most exciting and challenging research domains of our time. As technology progresses, so do the capabilities of sensor networks. Limit...
David Boyle, Thomas Newe
INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
15 years 10 months ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
149
Voted
CIKM
2005
Springer
15 years 11 months ago
Privacy leakage in multi-relational databases via pattern based semi-supervised learning
In multi-relational databases, a view, which is a context- and content-dependent subset of one or more tables (or other views), is often used to preserve privacy by hiding sensiti...
Hui Xiong, Michael Steinbach, Vipin Kumar
154
Voted
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
15 years 11 months ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare