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An Introduction to KDB: Knowledge Discovery in Biodiversity

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Computational Intelligence in Communications and Business Analytics (CICBA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1956))

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Abstract

The most basic method of experimentation using data mining algorithms is the command prompt. A convenient approach of interactive graphical user interfaces can be supplied for data exploration to build up complex studies. A graphical user interface gives an upgraded status for experimental data mining. An innovative proposal for employing data mining methodology on biodiversity data is shown in this article through the KDB (Knowledge Discovery in Biodiversity). It provides a platform for domain researchers to apply their datasets to domain-specific data mining algorithms for further analysis. A convenient interactive graphical user interface is provided for data exploration for the biodiversity domain to build up complex studies. The proposed data mining methods are developed in Java, while the website is built in PHP.

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Acknowledgements

The authors are grateful to the Department of Science & Technology, Government of India, New Delhi, for financial assistance under the scheme of WOS-A (Women Scientist Scheme A) to carry out this Ph.D. research project.

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Authors and Affiliations

  1. Department of Information Technology, Jadavpur University, Kolkata, India

    Moumita Ghosh, Sourav Mondal & Kartick Chandra Mondal

  2. West Bengal Biodiversity Board, Kolkata, India

    Anirban Roy

Authors
  1. Moumita Ghosh
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  2. Sourav Mondal
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  3. Anirban Roy
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  4. Kartick Chandra Mondal
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Corresponding author

Correspondence to Kartick Chandra Mondal .

Editor information

Editors and Affiliations

  1. Kalyani Government Engineering College, Kalyani, India

    Kousik Dasgupta

  2. Assam University, Silchar, India

    Somnath Mukhopadhyay

  3. University of Kalyani, Kalyani, West Bengal, India

    Jyotsna K. Mandal

  4. Visvabharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

Supplementary Material

Supplementary Material

The required software requirement specification (SRS) document, data flow diagram (DFD), use case diagram and the software development life cycle are attached in the supplementary material.

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Ghosh, M., Mondal, S., Roy, A., Mondal, K.C. (2024). An Introduction to KDB: Knowledge Discovery in Biodiversity. In: Dasgupta, K., Mukhopadhyay, S., Mandal, J.K., Dutta, P. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2023. Communications in Computer and Information Science, vol 1956. Springer, Cham. https://doi.org/10.1007/978-3-031-48879-5_24

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  • DOI: https://doi.org/10.1007/978-3-031-48879-5_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48878-8

  • Online ISBN: 978-3-031-48879-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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