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JCP
2008
174views more  JCP 2008»
14 years 10 months ago
Design and Implementation of Spatial Data Mining System (M-SDM) based on MATLAB
Taking the design of data analyzing software for imaging brain function -- SPM (Statistical Parameters Mapping) for reference, this study combined MATLAB, GIS and SDM organically, ...
Lu Zhao, Xinqi Zheng, Shuqing Wang
ICDE
1999
IEEE
139views Database» more  ICDE 1999»
15 years 11 months ago
Clustering Large Datasets in Arbitrary Metric Spaces
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehr...
82
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ICDCS
2003
IEEE
15 years 3 months ago
Decision-Support Workload Characteristics on a Clustered Database Server from the OS Perspective
A range of database services are being offered on clusters of workstations today to meet the demanding needs of applications with voluminous datasets, high computational and I/O r...
Yanyong Zhang, Jianyong Zhang, Anand Sivasubramani...
EUROPAR
1999
Springer
15 years 2 months ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
SAC
2006
ACM
15 years 4 months ago
Revisiting 1-copy equivalence in clustered databases
Recently renewed interest in scalable database systems for shared nothing clusters has been supported by replication protocols based on group communication that are aimed at seaml...
Rui Carlos Oliveira, José Pereira, Alfr&aci...