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WSDM
2010
ACM
227views Data Mining» more  WSDM 2010»
14 years 5 months ago
Folks in folksonomies: Social link prediction from shared metadata
Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create lightweight semantic scaffolding to organize and shar...
Rossano Schifanella, Alain Barrat, Ciro Cattuto, B...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 2 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
14 years 2 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 1 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu
FLAIRS
2007
13 years 10 months ago
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliy...