Cite Article
Cite Article
MLA
Fu, Qi. "Dynamic Research on Youth Thought, Behavior, and Growth Law Based on Deep Learning Algorithm." IJDWM vol.19, no.4 2023: pp.1-19. http://doi.org/10.4018/IJDWM.333518
APA
Fu, Q. (2023). Dynamic Research on Youth Thought, Behavior, and Growth Law Based on Deep Learning Algorithm. International Journal of Data Warehousing and Mining (IJDWM), 19 (4), 1-19. http://doi.org/10.4018/IJDWM.333518
Chicago
Fu, Qi. "Dynamic Research on Youth Thought, Behavior, and Growth Law Based on Deep Learning Algorithm," International Journal of Data Warehousing and Mining (IJDWM) 19, no.4: 1-19. http://doi.org/10.4018/IJDWM.333518
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International Journal of Data Warehousing and Mining (IJDWM) The International Journal of Data Warehousing and Mining (IJDWM) a featured IGI Global Core Journal Title, disseminates the latest international research findings in the areas of data management and analyzation. This journal is a forum for state-of-the-art developments, research, and current innovative activities focusing on the integration between the fields of data warehousing and data mining. Featured in prestigious indices including Web of Science® Citation Index Expanded®, Scopus®, Compendex®, INSPEC®, and more, this scholarly journal is led by a leading IGI Global editor and contains research from a growing list of more than 1,500+ industry-leading contributors. This journal is an ideal resource for academic researchers and practicing IT professionals looking for double-blind peer-reviewed articles that provide solutions to ongoing challenges, and new developments within this field.
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