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KDD
1994
ACM
82views Data Mining» more  KDD 1994»
13 years 10 months ago
Architectural Support for Data Mining
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
Marcel Holsheimer, Martin L. Kersten
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
14 years 3 days ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon
EUROGP
1999
Springer
166views Optimization» more  EUROGP 1999»
13 years 11 months ago
Adapting the Fitness Function in GP for Data Mining
In this paper we describe how the Stepwise Adaptation of Weights (saw) technique can be applied in genetic programming. The saw-ing mechanism has been originally developed for and ...
Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
IFIP7
2001
Springer
137views Optimization» more  IFIP7 2001»
13 years 11 months ago
Data Mining via Support Vector Machines
Support vector machines (SVMs) have played a key role in broad classes of problems arising in various fields. Much more recently, SVMs have become the tool of choice for problems...
Olvi L. Mangasarian
IIS
2004
13 years 8 months ago
Query Selectivity Estimation via Data Mining
Estimating the result size of a join is an important query optimization problem as it determines the choice of a good query evaluation strategy. Yet, there are few efficient techni...
Jarek Gryz, Dongming Liang