Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Yang, Leni"'
Storytelling is an ancient and precious human ability that has been rejuvenated in the digital age. Over the last decade, there has been a notable surge in the recognition and application of data storytelling, both in academia and industry. Recently,
Externí odkaz:
http://arxiv.org/abs/2404.01622
Computational notebooks are widely utilized for exploration and analysis. However, creating slides to communicate analysis results from these notebooks is quite tedious and time-consuming. Researchers have proposed automatic systems for generating sl
Externí odkaz:
http://arxiv.org/abs/2403.09121
Although visualization tools are widely available and accessible, not everyone knows the best practices and guidelines for creating accurate and honest visual representations of data. Numerous books and articles have been written to expose the mislea
Externí odkaz:
http://arxiv.org/abs/2309.01445
Computational notebooks have become increasingly popular for exploratory data analysis due to their ability to support data exploration and explanation within a single document. Effective documentation for explaining chart findings during the explora
Externí odkaz:
http://arxiv.org/abs/2307.07922
Data videos are becoming increasingly popular in society and academia. Yet little is known about how to create endings that strengthen a lasting impression and persuasion. To fulfill the gap, this work aims to develop guidelines for data video ending
Externí odkaz:
http://arxiv.org/abs/2303.14491
Data videos are an increasingly popular storytelling form. The opening of a data video critically influences its success as the opening either attracts the audience to continue watching or bores them to abandon watching. However, little is known abou
Externí odkaz:
http://arxiv.org/abs/2202.02709
Data visualizations have been increasingly used in oral presentations to communicate data patterns to the general public. Clear verbal introductions of visualizations to explain how to interpret the visually encoded information are essential to conve
Externí odkaz:
http://arxiv.org/abs/2112.12364
Autor:
Zhu, Qian, Yuan, Linping, Xu, Zian, Yang, Leni, Xia, Meng, Wang, Zhuo, Liang, Hai-Ning, Ma, Xiaojuan
Publikováno v:
In International Journal of Human - Computer Studies January 2024 181
Autor:
Xu, Ke, Wang, Yun, Yang, Leni, Wang, Yifang, Qiao, Bo, Qin, Si, Xu, Yong, Zhang, Haidong, Qu, Huamin
Detecting and analyzing potential anomalous performances in cloud computing systems is essential for avoiding losses to customers and ensuring the efficient operation of the systems. To this end, a variety of automated techniques have been developed
Externí odkaz:
http://arxiv.org/abs/1907.13187
Akademický článek
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