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Protein Sequence Classification Involving Data Mining Technique: A Review

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Smart Computing Paradigms: New Progresses and Challenges

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 767))

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Abstract

In the field of bio-informatics, size of the bio-database is increasing at an exponential rate. In this scenario, traditional data analysis procedure fails to classify it. Currently, a lot of classification techniques involving data mining are used to classify biological data, like protein sequence. In this paper, most popular classification techniques, like neural network-based classifier, fuzzy ARTMAP-based classifier, and rough set classifier are reviewed with the proper limitation. The accuracy level and computational time are also been analyzed in this review. At the end, an idea is proposed which can increase the accuracy level with low computational overhead.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Brainware University, Barasat, Kolkata, India

    Suprativ Saha

  2. Department of Information Technology, Techno India, Salt Lake, Kolkata, India

    Tanmay Bhattacharya

Authors
  1. Suprativ Saha
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  2. Tanmay Bhattacharya
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Corresponding author

Correspondence to Suprativ Saha .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Aksaray University, Sağlık, Aksaray, Turkey

    Atilla Elçi

  2. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Pankaj Kumar Sa

  3. National Institute of Technology Goa, Goa, India

    Chirag N. Modi

  4. CICESE, Ensenada, Baja California, Mexico

    Gustavo Olague

  5. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Manmath N. Sahoo

  6. Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

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Saha, S., Bhattacharya, T. (2020). Protein Sequence Classification Involving Data Mining Technique: A Review. In: Elçi, A., Sa, P., Modi, C., Olague, G., Sahoo, M., Bakshi, S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 767. Springer, Singapore. https://doi.org/10.1007/978-981-13-9680-9_17

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