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» Coactive Learning for Distributed Data Mining
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KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 8 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
CCR
2006
76views more  CCR 2006»
14 years 9 months ago
Secure distributed data-mining and its application to large-scale network measurements
The rapid growth of the Internet over the last decade has been startling. However, efforts to track its growth have often fallen afoul of bad data -- for instance, how much traffi...
Matthew Roughan, Yin Zhang
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
15 years 10 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 10 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
15 years 4 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey