Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Biographical Data : A Bibliometrics Study and Visualization Analysis via CiteSpace
0
Zitationen
2
Autoren
2023
Jahr
Abstract
Abstract Biographical data, a measure of individual tendency to future behavior based on their past life experiences, was often used in the fields of human resources and psychology, and had been expanding to other fields in recent years. A large number of literature on biographical data had been published internationally in the past decades. 464 literature was retrieved from the database of Web of Science core from 1951 to 2022 as the main, quantitatively visualized and analyzed the characteristics of literature, research hotspots, research process in this research field, pointed out the current problems to be solved with the help of CiteSpace. The study found that: Fluctuating upward trend in annual publication of biographical data literature, the authors, the regional scale of cooperation network had been initially formed, the overall view of Europe and the United States to pay more attention to the exploration of biographical data. The study of biographical data dimensions had always been a research hotspot. At present, biographical data still had problems such as information falsification, personal privacy leakage, quantification difficulties. Countries should strengthen academic cooperation to improve the current problems and promote the innovative development of biographical data in the future.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.438 Zit.