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» CURE: An Efficient Clustering Algorithm for Large Databases
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131
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VLDB
1998
ACM
105views Database» more  VLDB 1998»
15 years 7 months ago
Computing Iceberg Queries Efficiently
Many applications compute aggregate functions over an attribute (or set of attributes) to find aggregate values above some specified threshold. We call such queries iceberg querie...
Min Fang, Narayanan Shivakumar, Hector Garcia-Moli...
137
Voted
ICUMT
2009
15 years 1 months ago
Free-CLASH - improved localization-free clustering in large wireless sensor networks
This paper investigates topology management of large wireless sensor networks. Due to their random deployment, nodes have to organize themselves as energy efficient as possible to ...
Jakob Salzmann, Ralf Behnke, Jiaxi You, Dirk Timme...
ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
15 years 9 months ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov
129
Voted
EUROSYS
2007
ACM
16 years 17 days ago
Tashkent+: memory-aware load balancing and update filtering in replicated databases
We present a memory-aware load balancing (MALB) technique to dispatch transactions to replicas in a replicated database. Our MALB algorithm exploits knowledge of the working sets ...
Sameh Elnikety, Steven G. Dropsho, Willy Zwaenepoe...
ICDE
2004
IEEE
120views Database» more  ICDE 2004»
16 years 4 months ago
Substructure Clustering on Sequential 3d Object Datasets
In this paper, we will look at substructure clustering of sequential 3d objects. A sequential 3d object is a set of points located in a three dimensional space that are linked up ...
Zhenqiang Tan, Anthony K. H. Tung