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Societal Data Science - Big Data, Big Ideas, Intelligent Solutions

View Work
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  • Big Data Management
  • Computer Vision
  • Data Visualizations
  • Machine Learning
  • MultiCare Health System

    The University of Washington Tacoma (UWT) and MultiCare Health System (MHS) research partnership

    Predicting Risk of Re-Hospitalization for Congestive Heart Failure Patient

    Big Data Management, Machine Learning

  • Microsoft Research Connections, UC Berkeley, Moscow State University, UW iSchool

    ChronoZoom is an open source community proje

    Chronozoom Beta

    CHRONOZOOM PROJECT

    Big Data Management, Data Visualizations

  • Institute of Technology

    In this project, we seek to provide a visual representation of inter-country adoption statistics.

    Data Visualization: Inter-country adoption

    Data Visualizations

  • Fred Hutchinson Cancer Research Center

    The Dietary Data Recording System supports the dietary assessment of participants by facilitating

    eNutrition Dietary Data Recording System

    Big Data Management, Computer Vision

Latest Blog Post

Project Update: ChronoZoom Lets You Travel Through Time

Posted: Fri, 2013-05-17 13:11 by Bob Walter -

ChronoZoom lets you travel through time

ChronoZoom, http://www.chronozoomproject.org,  is a web-based tool for temporal data visualization. That’s the quick description of a new and powerful way to visualize data across time. There is nothing new about time-based visualization. Pretty much every graph you see shows changes over time. Think of a stock price chart. It shows the closing price of a company’s stock each day (or hour) over a period of time. When you look at this graph you can see at a glance how the price of a stock is trending. Another popular use of time-based visualization is the timeline. Timelines tell a story. The author of the timeline is showing events that lead to a conclusion. For example, a timeline of the U.S. Presidential election in 2012 would show events that led to the election of the President.

Recent Articles

  • Learn About Practical Applications Of In Memory Databases on Very Large Data Sets

  • Research talks by Siddharth Bhave and Kenny Kong

  • SubMillisecond Query Builder - Exploring Big Data at the Speed of Light

Contact the Center for Web and Data Science

Dr. Ankur M Teredesai
Director, Center for Web and Data Science
ankurt@uw.edu
Box 358426
1900 Commerce St,
Tacoma, WA 98402
ph: (253) 690-4806

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