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» A Perspective on Databases and Data Mining
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DPD
2002
125views more  DPD 2002»
15 years 3 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
SIGKDD
2000
237views more  SIGKDD 2000»
15 years 3 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
141
Voted
SSDBM
2005
IEEE
184views Database» more  SSDBM 2005»
15 years 9 months ago
Optimizing Multiple Top-K Queries over Joins
Advanced Data Mining applications require more and more support from relational database engines. Especially clustering applications in high dimensional features space demand a pr...
Dirk Habich, Wolfgang Lehner, Alexander Hinneburg
VLDB
2004
ACM
245views Database» more  VLDB 2004»
15 years 9 months ago
VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
CIT
2007
Springer
15 years 8 months ago
Mining Multiple Large Databases
: Effective data analysis using multiple databases requires highly accurate patterns. Local pattern analysis might extract low quality patterns from multiple large databases. Thus,...
Animesh Adhikari, P. R. Rao, Jhimli Adhikari