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Protein Sequence Classification Involving Data Mining Technique: A Review

  • Suprativ SahaEmail author
  • Tanmay Bhattacharya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 767)

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.

Keywords

Data mining Neural network Fuzzy ARTMAP Rough set String kernel Protein-hashing SVM/GA 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringBrainware UniversityBarasat, KolkataIndia
  2. 2.Department of Information TechnologyTechno IndiaSalt Lake, KolkataIndia

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