1243 search results - page 14 / 249 » Association Rule Mining from XML Data |
RSFDGRC
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
WAIM
2004
Springer
15 years 3 months ago
2004
Springer
Data mining extracts implicit, previously unknown and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most ...
AUSDM
2007
Springer
15 years 3 months ago
2007
Springer
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
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ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
KDD
1998
ACM
15 years 1 months ago
1998
ACM
We present an algorithm for mining association rules from relational tables containing numeric and categorical attributes. The approach is to merge adjacent intervals of numeric v...