306 search results - page 9 / 62 » Discovering Relational Patterns across Multiple Databases |
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...
DMKD
2004
ACM
14 years 1 months ago
2004
ACM
To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources. As a new attempt, this p...
IDA
2007
Springer
13 years 8 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
VLDB
2005
ACM
14 years 1 months ago
2005
ACM
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...
WEBDB
1998
Springer
14 years 5 days ago
1998
Springer
The World Wide Web is a vast resource for information. At the same time it is extremely distributed. A particular type of data such as restaurant lists maybe scattered across thous...