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ICDM
2010
IEEE
170views Data Mining» more  ICDM 2010»
13 years 5 months ago
Targeting Television Audiences Using Demographic Similarity
Targeting advertising on television is difficult due to limitations around ad tracking and ad delivery. This paper describes a new method of television advertising which can work w...
Brendan Kitts, Liang Wei, Dyng Au, Stefanie Zlomek...
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 8 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 1 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
AUSDM
2007
Springer
101views Data Mining» more  AUSDM 2007»
13 years 11 months ago
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
Denny, Graham J. Williams, Peter Christen
SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
13 years 9 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley