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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 6 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
140
Voted
ICML
2005
IEEE
16 years 7 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
ICML
1998
IEEE
16 years 7 months ago
Heading in the Right Direction
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
Hagit Shatkay, Leslie Pack Kaelbling
KDD
2005
ACM
86views Data Mining» more  KDD 2005»
16 years 6 months ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan
SAC
2010
ACM
16 years 1 months ago
Feature selection for ordinal regression
Ordinal regression (also known as ordinal classification) is a supervised learning task that consists of automatically determining the implied rating of a data item on a fixed, ...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...