2015C-CIKM-Detect Rumors Using Time Series of Social Context Information on Microblogging Websites
Detect Rumors Using Time Series of Social Context Information on Microblogging Websites（2015CIKM），JingMa 主要内容 提出一个动态时间序列结构模型（Dynamic Series-Time Structure model——DSTS），能够抓取多种社会上下文特征随时间流逝的变化。实验结果表明，在得知
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相关文章
- 1. An overview of time series forecasting models
- 2. Multiple websites on single instance of IIS
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- 4. Social Information Graph
- 5. How To Make Your Websites Faster On Mobile Devices
- 6. Identification of Urban Functional Regions in Chengdu Based on Taxi Trajectory Time Series Data
- 7. 阅读笔记：Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests（Python package）
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- 9. Scaling Time Series Data Storage — Part I
- 10. 《A Review of Unsupervised Feature Learning and Deep Learning for Time-Series Modeling》笔记