273 search results - page 12 / 55 » Mining association rules from imprecise ordinal data |
WAIM
2004
Springer
15 years 2 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 ...
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Voted
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. ...
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...
BNCOD
2003
14 years 11 months ago
2003
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...