228 search results - page 13 / 46 » Efficiently Mining Regional Outliers in Spatial Data |
ISASSCI
2001
13 years 9 months ago
2001
Data mining is the process of deriving knowledge from data. The architecture of a data mining system plays a significant role in the efficiency with which data is mined. It is pro...
SSD
1997
Springer
13 years 12 months ago
1997
Springer
Abstract. Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper int...
GIS
2009
ACM
14 years 9 days ago
2009
ACM
Traditional regression analysis derives global relationships between variables and neglects spatial variations in variables. Hence they lack the ability to systematically discover...
IJCAI
2003
13 years 9 months ago
2003
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...