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» CURE: An Efficient Clustering Algorithm for Large Databases
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TSMC
2008
189views more  TSMC 2008»
15 years 3 months ago
Automatic Clustering Using an Improved Differential Evolution Algorithm
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
Swagatam Das, Ajith Abraham, Amit Konar
235
Voted
GIS
2007
ACM
16 years 4 months ago
Cluster By: a new sql extension for spatial data aggregation
The development of areas such as remote and airborne sensing, location based services, and geosensor networks enables the collection of large volumes of spatial data. These datase...
Chengyang Zhang, Yan Huang
IPPS
2007
IEEE
15 years 9 months ago
An Energy-Efficient Framework for Large-Scale Parallel Storage Systems
Huge energy consumption has become a critical bottleneck for further applying large-scale cluster systems to build new data centers. Among various components of a data center, sto...
Ziliang Zong, Matt Briggs, Nick O'Connor, Xiao Qin
ESWA
2008
101views more  ESWA 2008»
15 years 3 months ago
Discovering during-temporal patterns (DTPs) in large temporal databases
Abstract Large temporal Databases (TDBs) usually contain a wealth of data about temporal events. Aimed at discovering temporal patterns with during relationship (during-temporal pa...
Li Zhang, Guoqing Chen, Tom Brijs, Xing Zhang
228
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SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
16 years 3 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...