66 search results - page 7 / 14 » Mining Classification Rules from Datasets with Large Number ... |
KDD
2001
ACM
14 years 8 months ago
2001
ACM
We focus on the problem of finding patterns across two large, multidimensional datasets. For example, given feature vectors of healthy and of non-healthy patients, we want to answ...
KBS
2002
13 years 8 months ago
2002
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
VLDB
2007
ACM
14 years 2 months ago
2007
ACM
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
SBACPAD
2003
IEEE
14 years 1 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
VLDB
1998
ACM
14 years 19 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...