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pro vyhledávání: '"Aleks Aris"'
Publikováno v:
Journal of the American Society for Information Science and Technology. 60:2219-2228
Autor:
Aleks Aris, Ben Shneiderman
Publikováno v:
Information Visualization. 6:281-300
A semantic substrate is a spatial template for a network, where nodes are grouped into regions and laid out within each region according to one or more node attributes. This paper shows how users can be given control in designing their own substrates
Publikováno v:
Decision Support Systems. 42:1521-1538
Publikováno v:
Decision Support Systems. 42:328-332
We introduce AuctionExplorer, a suite of tools for exploring databases of online auctions. The suite combines tools for collecting, processing, and interactively exploring auction attributes (e.g., seller rating), and the bid history (price evolution
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 8(2)
Though biomedical research often draws on knowledge from a wide variety of fields, few visualization methods for biomedical data incorporate meaningful cross-database exploration. A new approach is offered for visualizing and exploring a query-based
Autor:
Aleks Aris, Ben Shneiderman, Catherine Plaisant, Wolfgang Jank, Adalberto L. Simeone, Galit Shmueli, Paolo Buono
Publikováno v:
IV
Time-series forecasting has a large number of applications. Users with a partial time series for auctions, new stock offerings, or industrial processes desire estimates of the future behavior. We present a data driven forecasting method and interface
Autor:
Ben Shneiderman, Aleks Aris
Publikováno v:
IEEE transactions on visualization and computer graphics. 12(5)
Networks have remained a challenge for information visualization designers because of the complex issues of node and link layout coupled with the rich set of tasks that users present. This paper offers a strategy based on two principles: (1) layouts
Publikováno v:
ICME
User authored stories will always be the best stories, and authoring tools will continue to be developed. However, a digital lifetime capture permits storytelling via a lightweight markup structure, combined with location, sensor and usage data. In t
Publikováno v:
Visualization and Data Analysis
The need for pattern discovery in long time series data led researchers to develop algorithms for similarity search. Most of the literature about time series focuses on algorithms that index time series and bring the data into the main storage, thus
Publikováno v:
Human-Computer Interaction-INTERACT 2005 ISBN: 9783540289432
INTERACT
INTERACT
Visualizing time series is useful to support discovery of relations and patterns in financial, genomic, medical and other applications. Often, measurements are equally spaced over time. We discuss the challenges of unevenly-spaced time series and pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aca48ac91e8bbdb6e7ce84d0c7887239
https://doi.org/10.1007/11555261_66
https://doi.org/10.1007/11555261_66