253 search results - page 12 / 51 » Using and Learning Semantics in Frequent Subgraph Mining |
194
Voted
ICDE
2007
IEEE
16 years 1 months ago
2007
IEEE
The application of frequent patterns in classification appeared in sporadic studies and achieved initial success in the classification of relational data, text documents and graph...
116
Voted
KDD
2007
ACM
16 years 2 days ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
105
Voted
IJCNLP
2005
Springer
15 years 5 months ago
2005
Springer
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
101
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DAWAK
2009
Springer
15 years 4 months ago
2009
Springer
Frequent constraint violations on the data stored in a database may suggest that the semantics of the represented reality is changing. In this work we propose a methodology and a t...