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Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015 pp 153–166Cite as

Mining Closed Interesting Subspaces to Discover Conducive Living Environment of Migratory Animals

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 404))

Abstract

This paper presents the suitability of subspace clustering techniques to identify the conducive living environment of migratory animals given the geographical and weather conditions prevailing at various locations where the animals thrive. The set of collaborative weather and geographical conditions prevailing at different locations where animals move define the conducive living environment/conditions of animals and hence their accessibility in turn influence the migration behavior of animals. The concept of closed interesting subspaces in density divergence context for multidimensional data is proposed by the authors to model the conducive living conditions of migratory animals. A grid-based subspace mining algorithm namely SCHISM which is originally meant for extracting the maximal interesting subspaces was adapted for finding closed interesting subspaces. Migratory Burchell’s Zebra movement data collected from MoveBank was used for this analysis purpose.

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Acknowledgements

Our sincere thanks to Hattie L.A. Bartlam-Brooks for providing access to “Migratory Burchell’s zebra in northern Botswana” data in MoveBank.

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Authors and Affiliations

  1. Department of CSE, S.R.K.R. Engineering College, Bhimavaram, India

    G. N. V. G. Sirisha

  2. Department of CS & SE, Andhra University College of Engineering, Andhra University, Visakhapatnam, India

    M. Shashi

Authors
  1. G. N. V. G. Sirisha
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  2. M. Shashi
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Corresponding author

Correspondence to G. N. V. G. Sirisha .

Editor information

Editors and Affiliations

  1. Machine Intelligence Unit, ISI, Kolkata, West Bengal, India

    Swagatam Das

  2. Computer Science and Engineering, National Institute of Technology, Durgapur, West Bengal, India

    Tandra Pal

  3. National Institute of Technology, Durgapur, West Bengal, India

    Samarjit Kar

  4. Deparment of CSE, Anil Neerukonda Ins. of Tech. & Sci., Vishakapatnam, India

    Suresh Chandra Satapathy

  5. Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

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Sirisha, G.N.V.G., Shashi, M. (2016). Mining Closed Interesting Subspaces to Discover Conducive Living Environment of Migratory Animals. In: Das, S., Pal, T., Kar, S., Satapathy, S., Mandal, J. (eds) Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015. Advances in Intelligent Systems and Computing, vol 404. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2695-6_14

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  • DOI: https://doi.org/10.1007/978-81-322-2695-6_14

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2693-2

  • Online ISBN: 978-81-322-2695-6

  • eBook Packages: EngineeringEngineering (R0)

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