Challenges in Individual Representation of GP Classification

Autores/as

  • Venkatadri M. University of Petroleum and Energy Studies, Dehradun.
  • Hanumat Sastry G University of Petroleum and Energy Studies, Dehradun.
  • Dr. Lokanatha C. Reddy Dravidian University, Kuppam,

Palabras clave:

genetic programming, data mining, classification, classification issues

Resumen

Genetic Programming (GP) is an evolutionary programming strategy that automatically solves complex problems through computer programs. The field of Data Mining has got engrossed towards GP, due to its advantages in automatic evolution of programs with optimized solutions without prior knowledge on data. The classification technique is among the most studied Data Mining task through GP. GP, despite being used for classification for long time due to its numerous outstanding abilities, still suffers from certain limitations. Hence, this paper focuses on various Individual Representation challenges of GP Classification. 

Biografía del autor/a

  • Venkatadri M., University of Petroleum and Energy Studies, Dehradun.
    Centre for Information Technology,Assistant Professor
  • Hanumat Sastry G, University of Petroleum and Energy Studies, Dehradun.
     Centre for Information Technology,Assistant Professor
  • Dr. Lokanatha C. Reddy, Dravidian University, Kuppam,
    Department of Computer Science, Professor

Descargas

Publicado

2013-05-02

Número

Vol. 4 Núm. 1 (2013)

Sección

Research Articles

Licencia

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