Abstract
Estuaries represent the transitional ecosystem between freshwater and marine environment. Being dominated by both kinds of aquatic realms, it offers one of the most diverse ecosystems. However, Indian estuaries need a more exhaustive survey for the proper management of the wetlands as the estuarine ecological niche of flora and fauna is at risk. Mainly anthropogenic movements including trading, industrial as well as recreational activities, are the underlying reasons behind the deteriorating estuarine ecosystem and biodiversity. Comprehending the importance of the estuarine ecosystem, this article is concentrating on knowledge discovery from Indian estuarine data of flora & fauna. Here, we show the efficient use of the combining approach for bi-clustering and association rule mining on a manually curated real dataset. We come up with a set of rules, presentable to the ecologists as it can summarize closely occurred member lists, predicted list of sites for member expansion, etc. Hence, our study would assist in reinforcing the estuarine diversity that could pioneer region-based further studies.
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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 (File no SR/WOS-A/ET-112/2017(G)) to carry out this Ph.D. research project.
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Ghosh, M., Roy, A., Mondal, K.C. (2022). Analysis of Indian Estuarine Data of Flora & Fauna. In: Saraswat, M., Roy, S., Chowdhury, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 287. Springer, Singapore. https://doi.org/10.1007/978-981-16-5348-3_31
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DOI: https://doi.org/10.1007/978-981-16-5348-3_31
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