Artificial Intelligence and Deep Learning in Stock Prediction: A Bibliometric Review

被引：0
|
作者：
Lin, Chin Yang [1 ]
Lobo Marques, João Alexandre [1 ]
Chan, Lin Kun [2 ]
机构：
[1] Laboratory of Applied Neurosciences, Faculty of Business and Law, University of Saint Joseph, China
[2] School of Business, Macau University of Science and Technology, Taipa, China
来源：
Proceedings of the European Conference on Management, Leadership and Governance | 2024年 / 20卷 / 01期
关键词：
Artificial intelligence - Bibliometric - Bibliometrics analysis - Deep learning - Knowledge production - Research trends - Scientific mapping knowledge - Stock market prediction - Stock predictions - Vosviewer;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
34
引用
收藏
页码：297 / 306
相关论文
共 50 条
  • [1] Identifying Bulls and bears? A bibliometric review of applying artificial intelligence innovations for stock market prediction
    Chopra, Ritika
    Sharma, Gagan Deep
    Pereira, Vijay
    TECHNOVATION, 2024, 135
  • [2] Artificial Intelligence and Machine Learning in Marketing: A Bibliometric Review
    Kushwaha, Pooja S.
    Badhera, Usha
    PACIFIC BUSINESS REVIEW INTERNATIONAL, 2023, 15 (05): : 55 - 66
  • [3] Artificial intelligence and machine learning in finance: A bibliometric review
    Ahmed, Shamima
    Alshater, Muneer M.
    El Ammari, Anis
    Hammami, Helmi
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2022, 61
  • [4] Impact of Artificial Intelligence on Learning Management Systems: A Bibliometric Review
    Vergara, Diego
    Lampropoulos, Georgios
    Anton-Sancho, Alvaro
    Fernandez-Arias, Pablo
    MULTIMODAL TECHNOLOGIES AND INTERACTION, 2024, 8 (09)
  • [5] Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review
    Dindorf, Carlo
    Bartaguiz, Eva
    Gassmann, Freya
    Froehlich, Michael
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2023, 20 (01)
  • [6] Artificial intelligence for skin permeability prediction: deep learning
    Ita, Kevin
    Roshanaei, Sahba
    JOURNAL OF DRUG TARGETING, 2024, 32 (03) : 334 - 346
  • [7] Artificial intelligence, machine learning, and deep learning for clinical outcome prediction
    Pettit, Rowland W.
    Fullem, Robert
    Cheng, Chao
    Amos, Christopher I.
    EMERGING TOPICS IN LIFE SCIENCES, 2021, 5 (06) : 729 - 745
  • [8] Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review
    Chaudhari, Chandravesh
    Purswani, Geetanjali
    THIRD CONGRESS ON INTELLIGENT SYSTEMS, CIS 2022, VOL 1, 2023, 608 : 219 - 233
  • [9] Deep learning/artificial intelligence and the epigenomic prediction of coarctation of the aorta
    Bahado-Singh, Ray
    Vishweswaraiah, Sangeetha
    Sayed, Nazia M.
    Aydas, Buket
    Veerappa, Avinash M.
    Mishra, Nitish K.
    Guda, Chittibabu
    Radhakrishna, Uppala
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2019, 220 (01) : S50 - S50
  • [10] A Review of Artificial Intelligence's Neural Networks (Deep Learning) Applications in Medical Diagnosis and Prediction
    Djavanshir, G. Reza
    Chen, Xinrui
    Yang, Wenhao
    IT PROFESSIONAL, 2021, 23 (03) : 58 - 61
12345