This study designs and implements a bridge health monitoring system based on machinelearning. The system adopts a four-layer architecture, including data acquisition, processing, analysis and decision-making, and use...
详细信息
This paper explores the application of deep learning-based malware detection models in video conferencing systems. By constructing a large-scale dataset of malware and training deep neural network models such as CNN, ...
详细信息
This study explores the impact of industry-education integration on college students’ employment rate using machinelearning models. The original data was preprocessed through feature engineering, and models such as ...
详细信息
Traditional economic growth forecasting methods, though somewhat successful, have limitations such as assuming a linear data generation process and ignoring the nonlinear relationships between economic variables. This...
详细信息
data analysis and mining play an important role in the research of intelligent information management system, but there is a problem of inaccurate information management. Traditional machinelearning cannot solve the ...
详细信息
The healthcare industry produces a huge amount of complex data about patient records. This data can be processed and mined to uncover hidden patterns, which will provide professionals in the healthcare field with addi...
详细信息
The proceedings contain 70 papers. The topics discussed include: research on the optimization of driving strategy of intelligent networked vehicles based on big data technology;a tennis momentum analysis method based ...
ISBN:
(纸本)9798400718120
The proceedings contain 70 papers. The topics discussed include: research on the optimization of driving strategy of intelligent networked vehicles based on big data technology;a tennis momentum analysis method based on Gaussian dynamics and machinelearning;sentiment and user churn analysis for online platform business using yelp studies;research on commercial vehicle replacement prediction model based on improved attention mechanism;cross-sectional industrialization factors’ contribution to heat wave risk classification;cross-domain person search data augmentation based on style transfer;recurrent convolutional fact graph neural networks for temporal knowledge graph reasoning;and research on network quality evaluation system based on the entropy weight method.
This paper mainly introduces some machinelearning methods used in the field of datamining. The method of datamining is discussed by taking market segmentation algorithm as an example. This paper presents an improve...
详细信息
Financial frauds are on the rise globally, causing significant financial losses. This issue has far-reaching consequences, impacting the investment industry, government, and corporate sectors alike. Manual verificatio...
详细信息
Graphs, which encode pairwise relations between entities, are a kind of universal data structure for a lot of real-world data, including social networks, transportation networks, and chemical molecules. Many important...
详细信息
ISBN:
(纸本)9781450394079
Graphs, which encode pairwise relations between entities, are a kind of universal data structure for a lot of real-world data, including social networks, transportation networks, and chemical molecules. Many important applications on these data can be treated as computational tasks on graphs. Recently, machinelearning techniques are widely developed and utilized to effectively tame graphs for discovering actionable patterns and harnessing them for advancing various graph-related computational tasks. Huge success has been achieved and numerous real-world applications have benefited from it. However, since in today's world, we are generating and gathering data in a much faster and more diverse way, real-world graphs are becoming increasingly large-scale and complex. More dedicated efforts are needed to propose more advanced machinelearning techniques and properly deploy them for real-world applications in a scalable way. Thus, we organize The 3rdinternational Workshop on machinelearning on Graphs (MLoG)(1), held in conjunction with the 16th ACM conference on Web Search and datamining (WSDM), which provides a venue to gather academia researchers and industry researchers/practitioners to present the recent progress on machinelearning on graphs.
暂无评论