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» Partitioning Sets with Genetic Algorithms
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 4 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
EMSOFT
2004
Springer
15 years 4 months ago
Scheduling within temporal partitions: response-time analysis and server design
As the bandwidth of CPUs and networks continues to grow, it becomes more attractive, for efficiency reasons, to share such resources among several applications with the minimum le...
Luís Almeida, Paulo Pedreiras
AAIM
2007
Springer
116views Algorithms» more  AAIM 2007»
15 years 5 months ago
Solving Generalized Maximum Dispersion with Linear Programming
The Generalized Maximum Dispersion problem asks for a partition of a given graph into p vertex-disjoint sets, each of them having at most k vertices. The goal is to maximize the to...
Gerold Jäger, Anand Srivastav, Katja Wolf
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
16 years 20 days ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...
VLDB
2008
ACM
147views Database» more  VLDB 2008»
15 years 11 months ago
Tree-based partition querying: a methodology for computing medoids in large spatial datasets
Besides traditional domains (e.g., resource allocation, data mining applications), algorithms for medoid computation and related problems will play an important role in numerous e...
Kyriakos Mouratidis, Dimitris Papadias, Spiros Pap...