97 search results - page 6 / 20 » Classification as Mining and Use of Labeled Itemsets |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
SDM
2008
SIAM
13 years 8 months ago
2008
SIAM
Transductive inference on graphs such as label propagation algorithms is receiving a lot of attention. In this paper, we address a label propagation problem on multiple networks a...
DASFAA
2004
IEEE
13 years 11 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
WOA
2010
13 years 5 months ago
2010
Classification of users' whereabouts patterns is important for many emerging ubiquitous computing applications. Latent Dirichlet Allocation (LDA) is a powerful mechanism to e...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...