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Fourth International Congress on Information and Communication Technology pp 475–485Cite as

Applied N F Interpolation Method for Recover Randomly Missing Values in Data Mining

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1027))

Abstract

Data cleansing is a critical step for data preparation. The values lost in the database are a common problem faced by data analysts. Missing values in data mining are continual troubles that can grounds errors in data analysis. Randomly missing elements in the attribute/dataset make data analysis complicated and also confused to consolidated result. It affects the accuracy of the result and intermediate queries. By using statistical/numerical methods, one can recover the missing data and decrease the suspiciousness in the database. The present paper gives an applied approach of Newton forward interpolation (NFI) method to recover the missing values.

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Author information

Authors and Affiliations

  1. CSE, Jaipur Engineering College and Research Center, Jaipur, India

    Sanjay Gaur

  2. Department of Computer Science, Madhav University, Pindwara, Sirohi, Rajasthan, India

    Darshanaben D. Pandya

  3. Maharaja College, University of Rajasthan, Jaipur, India

    Manish Kumar Sharma

Authors
  1. Sanjay Gaur
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  2. Darshanaben D. Pandya
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  3. Manish Kumar Sharma
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Corresponding author

Correspondence to Sanjay Gaur .

Editor information

Editors and Affiliations

  1. School of Science and Technology, Middlesex University, London, UK

    Xin-She Yang

  2. University of Reading, Reading, UK

    Simon Sherratt

  3. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, Gujarat, India

    Amit Joshi

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Gaur, S., Pandya, D.D., Sharma, M.K. (2020). Applied N F Interpolation Method for Recover Randomly Missing Values in Data Mining. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1027. Springer, Singapore. https://doi.org/10.1007/978-981-32-9343-4_38

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  • DOI: https://doi.org/10.1007/978-981-32-9343-4_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9342-7

  • Online ISBN: 978-981-32-9343-4

  • eBook Packages: EngineeringEngineering (R0)

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