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» Scaling Clustering Algorithms to Large Databases
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IS
2007
15 years 1 months ago
Discovering frequent geometric subgraphs
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
Michihiro Kuramochi, George Karypis
EXPDB
2006
ACM
15 years 7 months ago
Performance Study of Rollout for Multi Dimensional Clustered Tables in DB2
In data warehousing applications, the ability to efficiently delete large chunks of data from a table is very important. This feature is also known as Rollout. Rollout is generall...
Bishwaranjan Bhattacharjee
TJS
2008
105views more  TJS 2008»
15 years 1 months ago
Using a relational database for scalable XML search
XML is a flexible and powerful tool that enables information and security sharing in heterogeneous environments. Scalable technologies are needed to effectively manage the growing...
Rebecca Cathey, Steven M. Beitzel, Eric C. Jensen,...
ESWS
2008
Springer
15 years 3 months ago
Instance Based Clustering of Semantic Web Resources
Abstract. The original Semantic Web vision was explicit in the need for intelligent autonomous agents that would represent users and help them navigate the Semantic Web. We argue t...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...
CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 1 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha