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  1. Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA '13)
  2. Storygraph: extracting patterns from spatio-temporal data
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Interactive visual analytics for high dimensional data
Building blocks for exploratory data analysis tools
Methods for exploring and mining tables on Wikipedia
One click mining: interactive local pattern discovery through implicit preference and performance learning
Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics
A process-centric data mining and visual analytic tool for exploring complex social networks
Zips: mining compressing sequential patterns in streams
Augmenting MATLAB with semantic objects for an interactive visual environment
Online spatial data analysis and visualization system
Randomly sampling maximal itemsets
Towards anytime active learning: interrupting experts to reduce annotation costs
Storygraph: extracting patterns from spatio-temporal data

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Storygraph: extracting patterns from spatio-temporal data

Content Provider ACM Digital Library
Author Zhao, Yi Zhu, Ying Shrestha, Ayush Miller, Ben
Abstract Analysis of spatio-temporal data often involves correlating different events in time and location to uncover relationships between them. It is also desirable to identify different patterns in the data. Visualizing time and space in the same chart is not trivial. Common methods includes plotting the latitude, longitude and time as three dimensions of a 3D chart. Drawbacks of these 3D charts include not being able to scale well due to cluttering, occlusion and difficulty to track time in case of clustered events. In this paper we present a novel 2D visualization technique called Storygraph which provides an integrated view of time and location to address these issues. We also present storylines based on Storygraph which show movement of the actors over time. Lastly, we present case studies to show the applications of Storygraph.
Starting Page 95
Ending Page 103
Page Count 9
File Format PDF
ISBN 9781450323291
DOI 10.1145/2501511.2501525
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-08-11
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Information visualization Spatio-temporal visualization
Content Type Text
Resource Type Article
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