35 search results - page 7 / 7 » CBC: Clustering Based Text Classification Requiring Minimal ... |
SDM
2010
SIAM
13 years 7 months ago
2010
SIAM
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
ICDCS
2006
IEEE
13 years 11 months ago
2006
IEEE
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
WWW
2010
ACM
14 years 14 days ago
2010
ACM
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...