https://scholars.lib.ntu.edu.tw/handle/123456789/413016
標題: | Trending pool: Visual analytics for trending event compositions for time-series categorical log data | 作者: | Tsai Y.-C. Hsieh L.-C. Cheng W.-F. Kuo Y.-H. WEN-CHIN CHEN WINSTON HSU |
關鍵字: | categorical data; time-series; Visual analytics | 公開日期: | 2015 | 起(迄)頁: | 221-222 | 來源出版物: | 2015 IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Proceedings | 摘要: | Although many visualization tools provide us plenty of ways to view the data, users can not easily find the trending events and their explanation from the data. In this work, we address the issue by leveraging the real music streaming log data as an example to better understand a million-scale dataset. Trending event explanation turns out to be challenging when it comes to categorical log data. Therefore, we propose to use a learning-based method with an interface design to uncover the trending event compositions for time-series categorical log data, which can be extend to other datasets, e.g., the hashtags in social media. First, we perform trending pool operation to save the memory and time cost. Second, we apply sparse coding to learn important trending candidate combination sets instead of traditional brute-force way or manual investigation for generating combinations. Besides the contributions above, we also observe some interesting user behaviors by exploring detected trending candidate combinations visually through our interface. ? 2015 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/413016 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962832742&doi=10.1109%2fVAST.2015.7347688&partnerID=40&md5=5b36e0c8abe5d2e190992f5a58d8b300 |
ISBN: | 9781467397834 | DOI: | 10.1109/VAST.2015.7347688 | SDG/關鍵字: | Behavioral research; Graphical user interfaces; Time series; Visualization; Categorical data; Interface designs; Learning-based methods; Music streaming; Sparse coding; User behaviors; Visual analytics; Visualization tools; Data visualization |
顯示於: | 資訊工程學系 |
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