Predictive Modeling for Risk Identification in Share Market Trading—A Multiphase Approach-Reference-Cited by-同舟云学术

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Predictive Modeling for Risk Identification in Share Market Trading—A Multiphase Approach

Published:2022 Issue: Volume: Page:301-317
ISSN:2367-4512
Container-title:Mobile Computing and Sustainable Informatics
language:
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Author:

Raghavendrarao R. V.,Ram Mohan Reddy Ch.,Sharmila T.,Ankitha H. M.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2069-1_22

Reference33 articles.

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2. Ahmed, B., Amroush, F., Larbi Ben Maati, M.: The implementation trends of intelligence E-CRM in business process. In: 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt) 2016, IEEE

3. Asniar, Surendro, K.: Predictive analytics for predicting customer behavior. In: 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), Yogyakarta, Indonesia, 2019, pp. 230–233. https://doi.org/10.1109/ICAIIT.2019.8834571

4. Chennamsetty, H., Chalasani, S., Riley, D.: Predictive analytics on electronic health records (EHRs) using Hadoop and Hive. In: 2015 IEEE ICECCT, India, 2015, pp. 1–5

5. Daud, N., Mohd Noor, N.L., Aljunid, S.A., Noordin, N., Fahmi Teng, N.I.M.: Predictive analytics: the application of J48 algorithm on grocery data to predict obesity. In: 2018 ICBDA, Langkawi, Malaysia, 2018, pp. 1–6

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1. Predictive Model for Risk Assessment in Share Market Using AI in Finance;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

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