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Data Mining Technique for Knowledge Discovery from Engineering Materials Data Sets

  • Conference paper
Advances in Computer Science and Information Technology (CCSIT 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 131))

Abstract

The goal of this paper is to discuss how data mining technique can be applied in materials informatics to extract knowledge from materials data. Studying material data sets from a data mining perspective can be beneficial for manufacturing and other industrial engineering applications. This work employs an effective materials classification system on design requirements. Experiments were conducted on material datasets that consist of all class of materials. The algorithm of the Naive Bayesian classifier is implemented successively enabling it to solve classification problems and the outcomes can be very useful for design engineers to speed up decision making process in manufacturing and other industrial engineering applications. The comparison of performance with various domains of material classes confirms the advantages of successive learning and suggests its application to other learning domains.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Mangalore University, Mangalagangotri, 574 199, Karnataka, India

    Doreswamy & K. S. Hemanth

  2. Department Computer Science & Engineering, PDIT, Hospet, Karnataka, India

    Channabasayya M. Vastrad

  3. Department Computer Science & Engineering, Bahubali College of Engineering, Shravanabelagola, Hassan, 573135, Karnataka, India

    S. Nagaraju

Authors
  1. Doreswamy
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  2. K. S. Hemanth
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  3. Channabasayya M. Vastrad
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  4. S. Nagaraju
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Editor information

Editors and Affiliations

  1. Jackson State University, 39217, Jackson, MS, USA

    Natarajan Meghanathan

  2. Deptt. of Electronics and Computer Engg., Indian Institute of Technology, Roorkee, India

    Brajesh Kumar Kaushik

  3. Wireilla Net Solutions PTY Ltd, Melbourne, Victoria, Australia

    Dhinaharan Nagamalai

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© 2011 Springer-Verlag Berlin Heidelberg

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Doreswamy, Hemanth, K.S., Vastrad, C.M., Nagaraju, S. (2011). Data Mining Technique for Knowledge Discovery from Engineering Materials Data Sets. In: Meghanathan, N., Kaushik, B.K., Nagamalai, D. (eds) Advances in Computer Science and Information Technology. CCSIT 2011. Communications in Computer and Information Science, vol 131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17857-3_50

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  • DOI: https://doi.org/10.1007/978-3-642-17857-3_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17856-6

  • Online ISBN: 978-3-642-17857-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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