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Nature Inspired Computing pp 147–156Cite as

Pico-Nym Cloud (PNC): A Method to Devise and Peruse Semantically Related Biological Patterns

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 652))

Abstract

Text mining works widely in the field of research techniques, which allow an individual to store text and its important terms in form of electronic document (.doc, .txt). Obliviously, one cannot remember such huge amount of text; moreover, the manual approach is more time-taking, unreliable, and accessible to that person only. Text mining techniques optimize this approach by extracting and storing this data. Computational comparison, file read, file write are more efficiently done. With the help of Pico-Nym Cloud (PNC), we generated more semantically similar, related, and significant patterns. The give, generate, and get sequence modeling is adopted. Over the other available Web applications, we present our application with improved stemming, relation, and average case consideration. This approach does not limit the displayed number of words as all the generated sets can be traversed with the GUI, with opted size of patterns. This PNC is highly applicable in bioinformatics, related information retrieval from document, sentimental analysis using social Web sites (Twitter and Facebook), query expansion (Google) and many more.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, The LNM Institute of Information Technology, Jaipur, India

    Mukesh Kumar Jadon & Pushkal Agarwal

  2. Department of Bioinformatics, Sambalpur University Institute of Information Technology, Sambalpur, India

    Atul Nag

Authors
  1. Mukesh Kumar Jadon
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  2. Pushkal Agarwal
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  3. Atul Nag
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Corresponding author

Correspondence to Mukesh Kumar Jadon .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

  2. Bharati Vidyapeeth’s Institute of Computer Applications and Management, New Delhi, Delhi, India

    M. N. Hoda

  3. Department of Computer Science and IT, University of Jammu, Jammu, Jammu and Kashmir, India

    Vinod Sharma

  4. Bharati Vidyapeeth’s Institute of Computer Applications and Management, New Delhi, Delhi, India

    Shivendra Goel

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© 2018 Springer Nature Singapore Pte Ltd.

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Jadon, M.K., Agarwal, P., Nag, A. (2018). Pico-Nym Cloud (PNC): A Method to Devise and Peruse Semantically Related Biological Patterns. In: Panigrahi, B., Hoda, M., Sharma, V., Goel, S. (eds) Nature Inspired Computing. Advances in Intelligent Systems and Computing, vol 652. Springer, Singapore. https://doi.org/10.1007/978-981-10-6747-1_17

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  • DOI: https://doi.org/10.1007/978-981-10-6747-1_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6746-4

  • Online ISBN: 978-981-10-6747-1

  • eBook Packages: EngineeringEngineering (R0)

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