137 search results - page 23 / 28 » Mining Association Rules between Sets of Items in Large Data... |
KDD
2004
ACM
15 years 10 months ago
2004
ACM
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
Traditional data mining applications consider the problem of mining a single relation between two attributes. For example, in a scientific bibliography database, authors are rela...
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
101
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HIPC
1999
Springer
15 years 1 months ago
1999
Springer
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...