ITEM not available

acmqueue

Originally published in Queue vol. 8, no. 4
see this item in the ACM Digital Library


Tweet


Related:

David Crandall, Noah Snavely - Modeling People and Places with Internet Photo Collections
This article describes our work in using online photo collections to reconstruct information about the world and its inhabitants at both global and local scales. This work has been driven by the dramatic growth of social content-sharing Web sites, which have created immense online collections of user-generated visual data. Flickr.com alone currently hosts more than 6 billion images taken by more than 40 million unique users, while Facebook.com has said it grows by nearly 250 million photos every day.


Jeffrey Heer, Ben Shneiderman - Interactive Dynamics for Visual Analysis
The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. To get the most out of such data, however, users must be able to make sense of it: to pursue questions, uncover patterns of interest, and identify (and potentially correct) errors. In concert with data-management systems and statistical algorithms, analysis requires contextualized human judgments regarding the domain-specific significance of the clusters, trends, and outliers discovered in data.


Robert DeLine, Gina Venolia, Kael Rowan - Software Development with Code Maps
To better understand how professional software developers use visual representations of their code, we interviewed nine developers at Microsoft to identify common scenarios, and then surveyed more than 400 developers to understand the scenarios more deeply.


Brendan Gregg - Visualizing System Latency
When I/O latency is presented as a visual heat map, some intriguing and beautiful patterns can emerge. These patterns provide insight into how a system is actually performing and what kinds of latency end-user applications experience. Many characteristics seen in these patterns are still not understood, but so far their analysis is revealing systemic behaviors that were previously unknown.





© 2021 ACM, Inc. All Rights Reserved.