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» A Perspective on Databases and Data Mining
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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 6 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
BMCBI
2008
169views more  BMCBI 2008»
15 years 6 months ago
MausDB: An open source application for phenotype data and mouse colony management in large-scale mouse phenotyping projects
Background: Large-scale, comprehensive and standardized high-throughput mouse phenotyping has been established as a tool of functional genome research by the German Mouse Clinic a...
Holger Maier, Christoph Lengger, Bruno Simic, Helm...
ICDE
2006
IEEE
138views Database» more  ICDE 2006»
16 years 16 days ago
Toward a Query Language for Network Attack Data
The growing sophistication and diversity of malicious activity in the Internet presents a serious challenge for network security analysts. In this paper, we describe our efforts t...
Bee-Chung Chen, Vinod Yegneswaran, Paul Barford, R...
IRI
2005
IEEE
16 years 2 days ago
Handling missing values via decomposition of the conditioned set
In this paper, a framework for replacing missing values in a database is proposed since a real-world database is seldom complete. Good data quality in a database can directly impr...
Mei-Ling Shyu, Indika Kuruppu-Appuhamilage, Shu-Ch...
SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
15 years 8 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi