Artificial Intelligence for Stock Prediction: A Bibliometric Review-Reference-Cited by-同舟云学术

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Artificial Intelligence for Stock Prediction: A Bibliometric Review

Published:2024-04-26 Issue: Volume:10 Page:1-5
ISSN:
Container-title:2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS)
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Author:

Kakkar Vanshika¹,Pandey D C²,Verma Vivek³,Mehrotra Ruchi¹,Singh Praveen¹,Tiwari Rajesh¹

Affiliation:

1. Graphic Era (Deemed to be University),Department of Management Studies,Dehradun,India (Bharat)

2. Graphic Era (Deemed to be University),Department of Management Studies,Dehradun,India

3. Graphic Era (Deemed to be University),Department of Management Studie,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560062/10560067/10560228.pdf?arnumber=10560228

Reference18 articles.

1. A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting

2. What do stock price levels tell us about the firms?

3. Predicting stock price changes of tehran artmis company using radial basis function neural networks;Ghaznavi;Int Res J Appl Basic Sci,2016

4. Prediction of stock performance in the indian stock market using logistic regression;Dunne;Int J Bus Inf,2012

5. Text mining for market prediction: A systematic review

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