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» Evolving by Maximizing the Number of Rules: Complexity Study
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KDD
2002
ACM
148views Data Mining» more  KDD 2002»
15 years 10 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
ICAC
2009
IEEE
15 years 4 months ago
Applying genetic algorithms to decision making in autonomic computing systems
Increasingly, applications need to be able to self-reconfigure in response to changing requirements and environmental conditions. Autonomic computing has been proposed as a means...
Andres J. Ramirez, David B. Knoester, Betty H. C. ...
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
15 years 10 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
ACTA
2004
87views more  ACTA 2004»
14 years 9 months ago
P systems with symport/antiport simulating counter automata
The generative capability of several variants of P systems with symport/antiport is studied via the simulation of counter automata. This leads to the reduction of the complexity, e...
Pierluigi Frisco, Hendrik Jan Hoogeboom
IWPEC
2004
Springer
15 years 3 months ago
Packing Edge Disjoint Triangles: A Parameterized View
The problem of packing k edge-disjoint triangles in a graph has been thoroughly studied both in the classical complexity and the approximation fields and it has a wide range of ap...
Luke Mathieson, Elena Prieto, Peter Shaw