101 search results - page 5 / 21 » Discovery of Influence Sets in Frequently Updated Databases |
KDD
2006
ACM
14 years 7 months ago
2006
ACM
Frequent coherent subgraphscan provide valuable knowledgeabout the underlying internal structure of a graph database, and mining frequently occurring coherent subgraphs from large...
ADC
2008
Springer
14 years 1 months ago
2008
Springer
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...
SSD
1995
Springer
13 years 11 months ago
1995
Springer
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
KDD
1997
ACM
13 years 11 months ago
1997
ACM
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
DAGM
1999
Springer
13 years 11 months ago
1999
Springer
Both, the number and the size of spatial databases, such as geographic or medical databases, are rapidly growing because of the large amount of data obtained from satellite images,...