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» Clustering by pattern similarity in large data sets
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PAMI
2006
134views more  PAMI 2006»
15 years 6 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
ACSAC
2001
IEEE
15 years 10 months ago
Mining Alarm Clusters to Improve Alarm Handling Efficiency
It is a well-known problem that intrusion detection systems overload their human operators by triggering thousands of alarms per day. As a matter of fact, we have been asked by on...
Klaus Julisch
ECML
2006
Springer
15 years 10 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
ISBI
2004
IEEE
16 years 7 months ago
Automated Interpretation of Subcellular Location Patterns
Fluorescence microscopy is widely used to analyze the distribution of proteins within cells. As currently practiced, the assignment of a protein to a particular organelle is done ...
Robert F. Murphy
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
15 years 8 months ago
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Pavel P. Kuksa, Yanjun Qi