1413 search results - page 37 / 283 » Mining Multiple Large Databases |
SIGMOD
1998
ACM
13 years 12 months ago
1998
ACM
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
VLDB
1998
ACM
13 years 12 months ago
1998
ACM
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
CIKM
2001
Springer
13 years 11 months ago
2001
Springer
Scalable data mining in large databases is one of today's challenges to database technologies. Thus, substantial effort is dedicated to a tight coupling of database and data ...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
The popularity of email has triggered researchers to look for ways to help users better organize the enormous amount of information stored in their email folders. One challenge th...
ADC
2008
Springer
14 years 2 months ago
2008
Springer
Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...