17 search results - page 1 / 4 » Robust Decision Trees: Removing Outliers from Databases |
KDD
1995
ACM
13 years 7 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...
PODS
2007
ACM
14 years 4 months ago
2007
ACM
In [3], we introduced a framework for querying and updating probabilistic information over unordered labeled trees, the probabilistic tree model. The data model is based on trees ...
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
Association analysis arises in many important applications such as bioinformatics and business intelligence. Given a large collection of measurements over a set of samples, associ...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
PAKDD
1998
ACM
13 years 8 months ago
1998
ACM
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...