385 search results - page 4 / 77 » Improving data mining utility with projective sampling |
PAKDD
2009
ACM
14 years 3 months ago
2009
ACM
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
PAKDD
2005
ACM
14 years 2 months ago
2005
ACM
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
ACMDIS
2010
ACM
13 years 8 months ago
2010
ACM
When using the computer, each user has some notion that "these applications are important" at a given point in time. We term this subset of applications that the user va...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
IRAL
2003
ACM
14 years 1 months ago
2003
ACM
In this paper, we examine how to improve the precision and recall of document clustering by utilizing meta-data. We use meta-data through NewsML tags to assist clustering and show...