Applications of artificial intelligence in business management, e-commerce and finance

Author:

Pallathadka Harikumar,Ramirez-Asis Edwin Hernan,Loli-Poma Telmo Pablo,Kaliyaperumal Karthikeyan,Ventayen Randy Joy Magno,Naved Mohd

Publisher

Elsevier BV

Subject

General Medicine

Reference15 articles.

1. Paulraj Prabhu, Neelamegam Anbazhagan, 2014. Improving Business Intelligence Based on Frequent Itemsets Using k-Means Clustering Algorithm. In: Meghanathan N., Nagamalai D., Rajasekaran S. (eds) Networks and Communications (NetCom2013). Lecture Notes in Electrical Engineering, vol 284. Springer, Cham, ISSN 1876-1100, ISBN 978-3-319-03691-5, ISBN 978-3-319-03692-2 (eBook), DOI : 10.1007/978-3-319-03692-2_19, pp 243-254.

2. P. Prabhu, N. Anbazhagan, FI-FCM Algorithm for Business Intelligence. In: Prasath R., Kathirvalavakumar T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science, vol 8284. Springer, Cham, pp 518-528 ISSN 0302-9743(Print ISBN 978-3-319-03843-8), (Online ISBN 978-3-319-03844-5), 2013. doi: 10.1007/978-3-319-03844-5_52 December 2013

3. Application of artificial intelligence in healthcare: chances and challenges;Manne;Curr. J. Appl. Sci. Technol.,2021

4. R.S. Ganesh, K.J. Jausmin, J. Srilatha, R. Indumathy, M. Naved, M. Ashok, 2021, April. Artificial Intelligence Based Smart Facial Expression Recognition Remote Control System. In2021 5th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1056-1061). IEEE.

5. R. Kamal, A. Karan, V.S. Arungalai, “Investigations on E-commerce Data for Forecasting the Efficient Promotional Platform Using Supervised Machine Learning,” 2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), 2019, pp. 939-943, doi: 10.1109/RTEICT46194.2019.9016688.

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