The 2012 visualanalyticsscience and technology (vast) Challenge posed two challenge problems for participants to solve using a combination of visualanalytics software and their own analytic reasoning abilities. Cha...
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ISBN:
(纸本)9781467347532
The 2012 visualanalyticsscience and technology (vast) Challenge posed two challenge problems for participants to solve using a combination of visualanalytics software and their own analytic reasoning abilities. Challenge 1 (C1) involved visualizing the network health of the fictitious Bank of Money to provide situation awareness and identify emerging trends that could signify network issues. Challenge 2 (C2) involved identifying the issues of concern within a region of the Bank of Money network experiencing operational difficulties utilizing the provided network logs. Participants were asked to analyze the data and provide solutions and explanations for both challenges. The data sets were downloaded by nearly 1100 people by the close of submissions. The vast Challenge received 40 submissions with participants from 12 different countries, and 14 awards were given.
We conducted visualanalytics to find out the organizational structure of the group within Kasios Factory. Given nine large scale datasets on communication and purchase information between employees, we utilized Table...
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ISBN:
(纸本)9781538668610
We conducted visualanalytics to find out the organizational structure of the group within Kasios Factory. Given nine large scale datasets on communication and purchase information between employees, we utilized Tableau visualization toolset to determine company growth and potiental suspicious employees. Additionaly, we created communication network graphs in R to present interactions between those suspicious employees.
This paper develops a sketch+fisheye interface supporting natural HCI in visual anal sis of lar e multi le time-series. The sketch-based fisheye can help analysts to efficiently analyze the high density temporal data ...
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Dodeca-Rings Map is the visualanalytics system we designed to analyze geo-temporal traffic problems. The system is organized by three kinds of visualizations: dodecagons that show events on the map (Fig. 1 A & B)...
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ISBN:
(纸本)9781479962273
Dodeca-Rings Map is the visualanalytics system we designed to analyze geo-temporal traffic problems. The system is organized by three kinds of visualizations: dodecagons that show events on the map (Fig. 1 A & B), activity temporal charts (Fig. 1 C), and a social relationship matrix (Fig. 1D). We used it to solve the vast 2014 Mini-Challenge 2 and then the Grand Challenge. The given data sets include two weeks of vehicle GPS tracking data, credit and loyalty card transaction data, as well as vehicle assignments data. The challenge requires us to describe common daily routines for the car drivers, identify unusual events, and address the uncertainties and conflicts inherent in this data.
This paper describes the rapid development of a tailored cyber situational awareness and analysis application for the 2012 ieeevast Mini-Challenge 1 (MC1) - Cyber Situation Awareness. The novel aspect of this project...
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ISBN:
(纸本)9781467347532
This paper describes the rapid development of a tailored cyber situational awareness and analysis application for the 2012 ieeevast Mini-Challenge 1 (MC1) - Cyber Situation Awareness. The novel aspect of this project was in the process of developing the tailored solution for a "big data" application. Aperture is an open, adaptable, and extensible Web 2.0 visualization framework, designed to produce visualizations for analysts and decision makers in any common web browser. Aperture utilizes a novel layer-based approach to visualization assembly, and a data mapping API that simplifies the process of transformation of data or analytic results into visual forms and properties.
Deployment of radiation sensor networks provides crucial information to ensure the safety of nuclear power plants. Due to the inherent uncertainty of spatio-temporal data from multi-types of sensors, it is equally imp...
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ISBN:
(纸本)9781728122847
Deployment of radiation sensor networks provides crucial information to ensure the safety of nuclear power plants. Due to the inherent uncertainty of spatio-temporal data from multi-types of sensors, it is equally important to evaluate both the radiation information and data confidence. This paper summarizes a visualanalytics approach to analyze radiation levels and various types of uncertainty from interfaces representing either single aspects or integrated information.
A key analytical task across many domains is model building and exploration for predictive analysis. Data is collected, parsed and analyzed for relationships, and features are selected and mapped to estimate the respo...
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ISBN:
(纸本)9781479962273
A key analytical task across many domains is model building and exploration for predictive analysis. Data is collected, parsed and analyzed for relationships, and features are selected and mapped to estimate the response of a system under exploration. As social media data has grown more abundant, data can be captured that may potentially represent behavioral patterns in society. In turn, this unstructured social media data can be parsed and integrated as a key factor for predictive intelligence. In this paper, we present a framework for the development of predictive models utilizing social media data. We combine feature selection mechanisms, similarity comparisons and model cross-validation through a variety of interactive visualizations to support analysts in model building and prediction. In order to explore how predictions might be performed in such a framework, we present results from a user study focusing on social media data as a predictor for movie box-office success.
Palantir is a world-class analytic platform used worldwide by governmental and financial analysts. This paper provides an introduction to the platform contextualized by its application to the 2008 ieeevast contest. I...
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ISBN:
(纸本)9781424429356
Palantir is a world-class analytic platform used worldwide by governmental and financial analysts. This paper provides an introduction to the platform contextualized by its application to the 2008 ieeevast contest. In this challenge, we explored a notional dataset about a fabricated religious movement, Catalano's Paraiso Manifesto Movement.
The vast 2019 Mini Challenge 3 (MC3) shows current challenges in analyzing and finding useful information from social media text datasets. We develop tools to process and visualize data including heat map, stacked are...
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ISBN:
(纸本)9781728122847
The vast 2019 Mini Challenge 3 (MC3) shows current challenges in analyzing and finding useful information from social media text datasets. We develop tools to process and visualize data including heat map, stacked area chart and message tables. It helps us identifying situations and making suggestions.
Social media is a valuable source for emergency workers and first-responders due to its wide use. Unfortunately, the number of posts poses a challenge to quickly find relevant and trustworthy information. We propose a...
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ISBN:
(纸本)9781728122847
Social media is a valuable source for emergency workers and first-responders due to its wide use. Unfortunately, the number of posts poses a challenge to quickly find relevant and trustworthy information. We propose a text pattern-based approach to gain insights from large micro-document collections, including temporal and semantic relationships. In this work, we apply our method to the fictional data set of the vast 2019 Mini-Challenge 3 that deals with the aftermath of an earthquake. We present major findings we could deduct using our visualanalytics approach.
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