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» Mining Multiple Large Databases
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VLDB
1997
ACM
104views Database» more  VLDB 1997»
15 years 10 months ago
Multiple-View Self-Maintenance in Data Warehousing Environments
A data warehouse materializes views derived from data that may not reside at the warehouse. Maintaining these views e ciently in response to base updates is di cult, since it may ...
Nam Huyn
ECCV
2006
Springer
16 years 8 months ago
Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data
Abstract. Automatic delineation of anatomical structures in 3-D volumetric data is a challenging task due to the complexity of the object appearance as well as the quantity of info...
Wei Hong, Bogdan Georgescu, Xiang Sean Zhou, Srira...
IDEAS
2007
IEEE
128views Database» more  IDEAS 2007»
16 years 19 days ago
Streaming Random Forests
Many recent applications deal with data streams, conceptually endless sequences of data records, often arriving at high flow rates. Standard data-mining techniques typically assu...
Hanady Abdulsalam, David B. Skillicorn, Patrick Ma...
PVLDB
2008
107views more  PVLDB 2008»
15 years 5 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
16 years 16 days ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov