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» CURE: An Efficient Clustering Algorithm for Large Databases
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164
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NIPS
2004
15 years 5 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson
243
Voted
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
16 years 5 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
145
Voted
ICWS
2009
IEEE
16 years 25 days ago
RDF Data-Centric Storage
—The vision of the Semantic Web has brought about new challenges at the intersection of web research and data management. One fundamental research issue at this intersection is t...
Justin J. Levandoski, Mohamed F. Mokbel
161
Voted
CIKM
2009
Springer
15 years 10 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
222
Voted
GIS
2007
ACM
16 years 4 months ago
Quality-driven geospatial data integration
Accurate and efficient integration of geospatial data is an important problem with applications in areas such as emergency response and urban planning. Some of the key challenges ...
Craig A. Knoblock, José Luis Ambite, Snehal...