1165 search results - page 191 / 233 » Ontology-Enhanced Association Mining |
PAKDD
2005
ACM
14 years 2 months ago
2005
ACM
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
PKDD
2001
Springer
14 years 1 months ago
2001
Springer
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
DAWAK
1999
Springer
14 years 1 months ago
1999
Springer
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
KDD
1998
ACM
14 years 1 months ago
1998
ACM
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...