822 search results - page 9 / 165 » Case Mining from Large Databases |
DAGSTUHL
2007
13 years 9 months ago
2007
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
KDD
1995
ACM
13 years 11 months ago
1995
ACM
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
KDD
1998
ACM
14 years 12 days ago
1998
ACM
Verylarge databases with skewedclass distributions and non-unlformcost per error are not uncommonin real-world data mining tasks. Wedevised a multi-classifier meta-learningapproac...
CIKM
2009
Springer
13 years 6 months ago
2009
Springer
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
VLDB
1998
ACM
14 years 11 days ago
1998
ACM
We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...