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IFIP7
2001
Springer
137views Optimization» more  IFIP7 2001»
14 years 2 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
EUROGP
1999
Springer
166views Optimization» more  EUROGP 1999»
14 years 2 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
ATAL
2007
Springer
14 years 4 months ago
F-trade: an agent-mining symbiont for financial services
The interaction and integration of agent technology and data mining presents prominent benefits to solve some of challenging issues in individual areas. For instance, data mining ...
Longbing Cao, Chengqi Zhang
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 12 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo
PODS
2005
ACM
131views Database» more  PODS 2005»
14 years 10 months ago
Space efficient mining of multigraph streams
The challenge of monitoring massive amounts of data generated by communication networks has led to the interest in data stream processing. We study streams of edges in massive com...
Graham Cormode, S. Muthukrishnan