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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 5 months ago
A bayesian mixture model with linear regression mixing proportions
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 11 months ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu
ICDM
2008
IEEE
155views Data Mining» more  ICDM 2008»
15 years 11 months ago
Alert Detection in System Logs
We present Nodeinfo, an unsupervised algorithm for anomaly detection in system logs. We demonstrate Nodeinfo’s effectiveness on data from four of the world’s most powerful sup...
Adam J. Oliner, Alex Aiken, Jon Stearley
ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 11 months ago
Recommendation via Query Centered Random Walk on K-Partite Graph
This paper presents a recommendation algorithm that performs a query dependent random walk on a k-partite graph constructed from the various features relevant to the recommendatio...
Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William...
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
15 years 10 months ago
Clustering Multi-represented Objects with Noise
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...
Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin...