1768 search results - page 47 / 354 » Mining Very Large Databases |
IDEAS
2003
IEEE
14 years 3 months ago
2003
IEEE
With the wide development of databases in general and data warehouses in particular, it is important to reduce the tasks that a database administrator must perform manually. The a...
DAWAK
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. Many real world applications rely on the discovery of maximal biclique subgraphs (complete bipartite subgraphs). However, existing algorithms for enumerating maximal bicl...
SEKE
2005
Springer
14 years 3 months ago
2005
Springer
The constant increase in use of geographic data in different application domains has resulted in large amounts of data stored in spatial databases and in the desire of data mining....
DATAMINE
1999
13 years 9 months ago
1999
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
SSD
1997
Springer
14 years 2 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...