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While massive open online courses (MOOCs) have gained increasing popularity in recent years, dropout prediction has been an important task to solve due to the high rates of dropout students found in MOOCs. Current methods normally apply supervised learning methods to dropout prediction, using general features extracted from behavior records without the concern of behavior types. However, student learning...
Due to the increasing need to process the fast growing graph-structured data (e.g. Social networks and web graphs), designing high performance graph processing systems becomes one of the most urgent problems facing systems researchers. In this paper, we introduce GPSA, a single-machine graph processing system based on an actor computation model inspired by the Bulk Synchronous Parallel(BSP) computation...
Condition-based maintenance technology plays a significant role in improving the equipment maintenance efficiency and reducing the equipment failure rate. Graphics model analysis is the basic technology for implementing condition-based maintenance. In this paper, based on graphics model analysis for the grid equipment condition-based maintenance, the ideas, methods and issues about carrying out condition-based...
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