2022
DOI: 10.1007/s12650-022-00879-y
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Progressive visual analysis of traffic data based on hierarchical topic refinement and detail analysis

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Cited by 4 publications
(20 citation statements)
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“…As can be seen, this is a detailed search direction after the public has a certain desire to purchase Chinese style clothing. In addition, the historical views of 'New Chinese style Cheongsam' exceeded 91.96% of similar topics [11], and the historical views of 'New Chinese style Dress' exceeded 99.43% of similar topics [12].…”
Section: Case Descriptionmentioning
confidence: 94%
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“…As can be seen, this is a detailed search direction after the public has a certain desire to purchase Chinese style clothing. In addition, the historical views of 'New Chinese style Cheongsam' exceeded 91.96% of similar topics [11], and the historical views of 'New Chinese style Dress' exceeded 99.43% of similar topics [12].…”
Section: Case Descriptionmentioning
confidence: 94%
“…Little Red Book launched the search topic "New Chinese Style" on November 19, 2018. Since August 6, 2022, the number of page views for the topic "New Chinese Style" has exceeded 99.8% of similar topics [6]. A social media platform called Sina Weibo is designed to provide consumers with a way to interact with brands through official accounts.…”
Section: Case Descriptionmentioning
confidence: 99%
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“…Liu et al [10] employ the bigram topic model to analyze textualized trajectories. Tao et al [11] introduce a hierarchical topic model H-NMF to extract multi-granularity traffic topics to capture mobility patterns. Traffic trajectory is dynamic, and the corresponding trajectory topic constantly evolves.…”
Section: Introductionmentioning
confidence: 99%