Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shi, Shenzhi"'
Sensemaking is the iterative process of identifying, extracting, and explaining insights from data, where each iteration is referred to as the "sensemaking loop." Although recent work observes snapshots of the sensemaking loop within computational no
Externí odkaz:
http://arxiv.org/abs/2209.02851
Autor:
Raghunandan, Deepthi, Cui, Zhe, Krishnan, Kartik, Tirfe, Segen, Shi, Shenzhi, Shrestha, Tejaswi Darshan, Battle, Leilani, Elmqvist, Niklas
Keeping abreast of current trends, technologies, and best practices in visualization and data analysis is becoming increasingly difficult, especially for fledgling data scientists. In this paper, we propose Lodestar, an interactive computational note
Externí odkaz:
http://arxiv.org/abs/2204.07876
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Raghunandan, Deepthi1 (AUTHOR) draghun1@umd.edu, Cui, Zhe2 (AUTHOR), Krishnan, Kartik1 (AUTHOR), Tirfe, Segen1 (AUTHOR), Shi, Shenzhi1 (AUTHOR), Shrestha, Tejaswi Darshan1 (AUTHOR), Battle, Leilani3 (AUTHOR), Elmqvist, Niklas1 (AUTHOR)
Publikováno v:
Information Visualization. Jan2024, Vol. 23 Issue 1, p21-39. 19p.
