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» Association Rule Mining Algorithms for Set-Valued Data
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JCP
2006
139views more  JCP 2006»
13 years 7 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 8 months ago
Efficient anonymity-preserving data collection
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Justin Brickell, Vitaly Shmatikov
PKDD
2007
Springer
120views Data Mining» more  PKDD 2007»
14 years 1 months ago
Privacy Preserving Market Basket Data Analysis
Randomized Response techniques have been empirically investigated in privacy preserving association rule mining. However, previous research on privacy preserving market basket data...
Ling Guo, Songtao Guo, Xintao Wu
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 8 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
SDM
2008
SIAM
123views Data Mining» more  SDM 2008»
13 years 9 months ago
Constrained Co-clustering of Gene Expression Data
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
Ruggero G. Pensa, Jean-François Boulicaut