Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Danyel Fisher"'
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 2:60-67
An overwhelming number of news articles are available every day via the internet. Unfortunately, it is impossible for us to peruse more than a handful; furthermore it is difficult to ascertain an article's social context, i.e., is it popular, what so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c93d39db0b3bd6fd0b81f9c97f52e4a
https://doi.org/10.1609/icwsm.v2i1.18616
https://doi.org/10.1609/icwsm.v2i1.18616
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:682-692
Dashboards are one of the most common use cases for data visualization, and their design and contexts of use are considerably different from exploratory visualization tools. In this paper, we look at the broad scope of how dashboards are used in prac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c15909b0b2651f0e32ab8c3b436e8e00
https://doi.org/10.1109/tvcg.2018.2864903
https://doi.org/10.1109/tvcg.2018.2864903
Publikováno v:
IEEE computer graphics and applications. 41(1)
BubbleUp is a tool that lets DevOps teams—data analysts who specialize in building and maintaining online systems—rapidly figure out why anomalous data have gone wrong. We developed BubbleUp with an iterative, human-centered design approach. Thro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cee7a66c0d5c47f86bb7d84f3514e5b7
https://pubmed.ncbi.nlm.nih.gov/33444132
https://pubmed.ncbi.nlm.nih.gov/33444132
Autor:
Gennady Andrienko, Natalia Andrienko, Steven Drucker, Jean-Daniel Fekete, Danyel Fisher, Stavros Idreos, Tim Kraska, Guoliang Li, Kwan-Liu Ma, Jock Mackinlay, Antti Oulasvirta, Tobias Schreck, Heidrun Schmann, Michael Stonebraker, David Auber, Nikos Bikakis, Panos Chrysanthis, George Papastefanatos, Mohamed Sharaf
Publikováno v:
BigVis 2020: Big Data Visual Exploration and Analytics
BigVis 2020: Big Data Visual Exploration and Analytics, Mar 2020, Copenhagen, Denmark
BigVis 2020-3rd International Workshop on Big Data Visual Exploration and Analytics
BigVis 2020-3rd International Workshop on Big Data Visual Exploration and Analytics, Mar 2020, Copenhagen, Denmark
Scopus-Elsevier
HAL
Nikos Bikakis
Aalto University
BigVis 2020: Big Data Visual Exploration and Analytics, Mar 2020, Copenhagen, Denmark
BigVis 2020-3rd International Workshop on Big Data Visual Exploration and Analytics
BigVis 2020-3rd International Workshop on Big Data Visual Exploration and Analytics, Mar 2020, Copenhagen, Denmark
Scopus-Elsevier
HAL
Nikos Bikakis
Aalto University
International audience; In the context of data visualization and analytics, this report outlines some of the challenges and emerging applications that arise in the Big Data era. In particularly, fourteen distinguished scientists from academia and ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2acba0dd1809b12f56bf99efc11d423e
https://inria.hal.science/hal-02568845/document
https://inria.hal.science/hal-02568845/document
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 23:481-490
A common workflow for visualization designers begins with a generative tool, like D3 or Processing, to create the initial visualization; and proceeds to a drawing tool, like Adobe Illustrator or Inkscape, for editing and cleaning. Unfortunately, this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56f336cc0730867d33e657472798c4f7
https://doi.org/10.1109/tvcg.2016.2598609
https://doi.org/10.1109/tvcg.2016.2598609
Autor:
Danyel Fisher, Miriah Meyer
You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you're a data scientist trying to navigate the murky space between data and insight, thi
Autor:
Danyel Fisher, Dominik Moritz
Publikováno v:
HILDA@SIGMOD
Pangloss implements "Optimistic Visualization", a method that gives analysts confidence to use approximate results for exploratory data analysis. In this paper, we outline how analysts' experience with an approximate visualization system did not matc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5acb8b3f401cdca8b90114ceb5394298
https://doi.org/10.1145/3077257.3077258
https://doi.org/10.1145/3077257.3077258
Publikováno v:
CHI
Analysts need interactive speed for exploratory analysis, but big data systems are often slow. With sampling, data systems can produce approximate answers fast enough for exploratory visualization, at the cost of accuracy and trust. We propose optimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8dd034731f3eabeed443c0028e0bda6
https://doi.org/10.1145/3025453.3025456
https://doi.org/10.1145/3025453.3025456
Autor:
Robert DeLine, Jonathan Goldstein, Danyel Fisher, John Wernsing, James F. Terwilliger, Mike Barnett, Badrish Chandramouli, John Platt
Publikováno v:
Proceedings of the VLDB Endowment. 8:401-412
This paper introduces Trill -- a new query processor for analytics. Trill fulfills a combination of three requirements for a query processor to serve the diverse big data analytics space: (1) Query Model : Trill is based on a tempo-relational model t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9be1fc00af216c449169142633800677
https://doi.org/10.14778/2735496.2735503
https://doi.org/10.14778/2735496.2735503
Autor:
Steven M. Drucker, Bongshin Lee, Andreea Danielescu, Meredith Ringel Morris, Danyel Fisher, Monica M. C. Schraefel, Jacob O. Wobbrock
Publikováno v:
Interactions. 21:40-45
Gesture-based system are becoming ubiquitous. Trablets, phones, large displays, and even laptop computers are now commonly equipped with multitouch-recognizing screens. Third-party accessories like the Wii Nunchuck and the Xbox Kinect can also detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9a93990104b3969ea3dedd12bc0ec5c
https://doi.org/10.1145/2591689
https://doi.org/10.1145/2591689