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ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II pp 125–135Cite as

Outliers Detection in Regression Analysis Using Partial Least Square Approach

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 249))

Abstract

Identifying abnormal behavior in the chosen dataset is essential for improving the quality of the given dataset and decreasing the impact of abnormal values/patterns in the knowledge discovery process. Outlier detection may be established in many data mining techniques. In this paper Regression analysis have been used to detect the outliers. Partial Least Square approach is mainly used in regression analysis. Laser dataset has been used to find out the outliers. The main objective is used for constructing predictive models. The Mahalanobis distance, Jackknife distance and T2 distance were calculated for finding the outliers.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engg., Acharya Nagarjuna University, Nagarjuna Nagar, India

    Nagaraju Devarakonda & Shaik Subhani

  2. Department of MCA, Gokaraju Rangaraju Institute of Eng. & Tech., Hyderabad, India

    Shaik Althaf Hussain Basha

Authors
  1. Nagaraju Devarakonda
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  2. Shaik Subhani
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  3. Shaik Althaf Hussain Basha
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Corresponding author

Correspondence to Nagaraju Devarakonda .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. College of Engineering(A), Andhra University, Vishakapatnam, India

    P. S. Avadhani

  3. University of Hyderabad, Hyderabad, India

    Siba K. Udgata

  4. CSIR-National Institute of Oceanography, Visakhapatnam, India

    Sadasivuni Lakshminarayana

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Devarakonda, N., Subhani, S., Basha, S.A.H. (2014). Outliers Detection in Regression Analysis Using Partial Least Square Approach. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II. Advances in Intelligent Systems and Computing, vol 249. Springer, Cham. https://doi.org/10.1007/978-3-319-03095-1_14

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  • DOI: https://doi.org/10.1007/978-3-319-03095-1_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03094-4

  • Online ISBN: 978-3-319-03095-1

  • eBook Packages: EngineeringEngineering (R0)

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