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» A Genetic Algorithm for Clustering on Very Large Data Sets
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VISSYM
2003
13 years 10 months ago
Adaptive Smooth Scattered Data Approximation for Large-scale Terrain Visualization
We present a fast method that adaptively approximates large-scale functional scattered data sets with hierarchical B-splines. The scheme is memory efficient, easy to implement an...
Martin Bertram, Xavier Tricoche, Hans Hagen
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
14 years 2 months ago
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
Ashish Sureka, Peter R. Wurman
PAKDD
2010
ACM
158views Data Mining» more  PAKDD 2010»
14 years 1 months ago
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes
Abstract. Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with ...
Christian Böhm, Sebastian Goebl, Annahita Osw...
ESANN
2000
13 years 10 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
IJVR
2006
166views more  IJVR 2006»
13 years 8 months ago
Multi-screen Tiled Displayed, Parallel Rendering System for a Large Terrain Dataset
Real time terrain rendering plays a very important role in many fields, such of GIS, virtual reality, and military simulations. With the rapid development of PC-level hardware, rec...
Ping Yin, Xiaohong Jiang, Jiaoying Shi, Ran Zhou