Hybrid Data Mining Technique for Knowledge Discovery from Engineering Materials' Data sets

@article{Doreswamy2011HybridDM,
  title={Hybrid Data Mining Technique for Knowledge Discovery from Engineering Materials' Data sets},
  author={Doreswamy and S. K. HemanthK.},
  journal={CoRR},
  year={2011},
  volume={abs/1209.4169}
}
Studying materials informatics from a data mining perspective can be beneficial for manufacturing and other industrial engineering applications. Predictive data mining technique and machine learning algorithm are combined to design a knowledge discovery system for the selection of engineering materials that meet the design specifications. Predictive method-Naive Bayesian classifier and Machine learning Algorithm Pearson correlation coefficient method were implemented respectively for materials… CONTINUE READING

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References

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Showing 1-10 of 26 references

Data Mini ng Concepts and Techniques", Morgan Kaufamann Pubisher

  • Jiawei Han, Micheeline Kamber
  • 2009
Highly Influential
3 Excerpts

Data mining and info rmatics for crystal chemistry: establishing measurement techniques for mapping structure-proper ty relationships," MATERIALS

  • C. Suh, K Rajan
  • SCIENCE AND TECHNOLOGY,
  • 2009
1 Excerpt

Data mining and informatics for crystal chemistry : establishing measurement techniques for mapping structureproperty relationships

  • D Scott, J., V. CoveneyP., J. A. Kilner, J. Rossiny
  • MATERIALS SCIENCE AND TECHNOLOGY
  • 2009

Informatics for combinatorial materials science," JOM

  • S. Broderick, C. Suh, +4 authors K Rajan
  • 2008
1 Excerpt

A NaiveBayes classifier for damage detection in engineering , materials ”

  • O. Addin, S Sapuan, M., E. Mahdi
  • Materials and Design
  • 2007

Building the Data Warehouse(4th Editi on)

  • Inmon, W.H
  • 2007
2 Excerpts

Mater ials informatics: Fast track to new materials,

  • F. Ferris, L. M. Peurrung, J Marder
  • ADVANCED MATERIALS & PROCESSES,
  • 2007
1 Excerpt

Prediction of the functional properties of ceramic materials from com p sition using artificial neural networks, "JOURNAL

  • D Scott, Coveney P.V, J. A. Kilner, J. Rossiny, N Alford
  • OF THE EUROPEAN CERAMIC SOCIETY,
  • 2007
2 Excerpts

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