1768 search results - page 37 / 354 » Mining Very Large Databases |
KDD
1997
ACM
14 years 2 months ago
1997
ACM
This paper describesthe use of AI planning techniques to representscientific, image processing, and software tool knowledge to automateknowledgediscoveryanddatamining (e.g.,scienc...
KDD
1998
ACM
14 years 2 months ago
1998
ACM
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...
KDD
1998
ACM
14 years 2 months ago
1998
ACM
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
KDD
2005
ACM
14 years 3 months ago
2005
ACM
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
ESANN
2004
13 years 11 months ago
2004
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...