147 search results - page 20 / 30 » Constraint-Based Rule Mining in Large, Dense Databases |
CINQ
2004
Springer
15 years 3 months ago
2004
Springer
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
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ADC
2003
Springer
15 years 3 months ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
PKDD
2005
Springer
15 years 3 months ago
2005
Springer
It is generally believed that data mining results do not violate the anonymity of the individuals recorded in the source database. In fact, data mining models and patterns, in orde...
SDM
2009
SIAM
15 years 7 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 ...
VLDB
1998
ACM
15 years 2 months ago
1998
ACM
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...