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» Practical Preference Relations for Large Data Sets
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GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 7 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
SEMWEB
2005
Springer
15 years 11 months ago
An Application of Semantic Web Technologies to Situation Awareness
Situation awareness involves the identification and monitoring of relationships among objects participating in an evolving situation. This problem in general is intractable (i.e.,...
Christopher J. Matheus, Mieczyslaw M. Kokar, Kenne...
SSDBM
2010
IEEE
185views Database» more  SSDBM 2010»
15 years 4 months ago
DESSIN: Mining Dense Subgraph Patterns in a Single Graph
Currently, a large amount of data can be best represented as graphs, e.g., social networks, protein interaction networks, etc. The analysis of these networks is an urgent research ...
Shirong Li, Shijie Zhang, Jiong Yang
ECAI
2010
Springer
15 years 4 months ago
Local search algorithms on the Stable Marriage Problem: Experimental Studies
The stable marriage problem (SM) has a wide variety of practical applications, ranging from matching resident doctors to hospitals, to matching students to schools, or more general...
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...
PREMI
2005
Springer
15 years 11 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...