This paper proposes a statistical feature-based method to find the most reliable career trajectories by some state-of-the-art approaches.
This paper proposes a statistical feature-based method to find the most reliable career trajectories by some state-of-the-art approaches.
To restore the continuously scholars' career trajectories, this paper offers the trajectory generation algorithm based on the output from the previous step.
A statistical feature data mining framework for constructing scholars' career trajectories in academic data. https://doi.org/10.1016/j.asoc.2022.108550 �.
A statistical feature data mining framework for constructing scholars' career trajectories in academic data � Author Picture Zhou Shao. School of Computer�...
A statistical feature data mining framework for constructing scholars' career trajectories in academic data. Article. Feb 2022; APPL SOFT COMPUT. Zhou�...
Mar 3, 2022 � This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students.
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A statistical feature data mining framework for constructing scholars' career trajectories in academic data ... Appl. Soft Comput. 2022. 3 Citations.
成果筛选 ; 1. A statistical feature data mining framework for constructing scholars' career trajectories in academic data � 3 ; 2. Adaptive online learning for IoT�...
The framework has two components: online micro-clustering maintenance and offline macro-clustering creation. For the online part, micro-clusters are�...