1314 search results - page 3 / 263 » Approximate data mining in very large relational data |
AI
2005
Springer
13 years 11 months ago
2005
Springer
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
SDM
2007
SIAM
13 years 7 months ago
2007
SIAM
The paper introduces a notion of support for realvalued functions. It is shown how to approximate supports of a large class of functions based on supports of so called polynomial ...
DBVIS
1993
13 years 10 months ago
1993
In this paper, we present ideas how visualization technology can be used to improve the difficult process of querying very large databases. With our VisDB system, we try to provid...
BMCBI
2008
13 years 5 months ago
2008
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
KDD
2012
ACM
11 years 8 months ago
2012
ACM
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...