大数据时代可视化分析的机遇与挑战

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1、 ? BDTC - Beijing, 2013-12-6 ? ? ? ? ? ? ? ? ? ? ? ? ? BDTC - Beijing, 2013-12-6 ? ? Big Data Visualization and Visual Analysis - the Challenges and Opportunities ? ? ? ? ? ? ? ? BDTC - Beijing, 2013-12-6 ? ? Visualization? ? 3 ? BDTC - Beijing, 2013-12-6 ? ? ? ? ! ?:? ? ? ! ? ? ? ! ? ? ? ! ? ? 4 ?

2、? BDTC - Beijing, 2013-12-6 ? ? ? ? ! ?(Visualization) ?(mental model)? ?(mental image)? 5 Visualization? ? Data? ? Mental Model? ? Image? ? Insights? ? ? ? BDTC - Beijing, 2013-12-6 ? ? From Data to Visualization? ? 6 ? ? BDTC - Beijing, 2013-12-6 ? ? Visualization != Infographics? ? ! ? 7 ? ? BDTC

3、 - Beijing, 2013-12-6 ? ? 8 ? ? BDTC - Beijing, 2013-12-6 ? ? Large Volume Visualization? ? ! Level of Details ! Out of Core ! Parallel Visualization 9 ? ? BDTC - Beijing, 2013-12-6 ? ? Top 10 Challenges in Extreme-Scale Data Visual Analytics 10 Pak Chung Wong (PNNL) Han-Wei Shen (OSU) Chris Johnson

4、 (Utah) Chaomei Chen (Drexel) Robert Ross (Argonne) ? ? BDTC - Beijing, 2013-12-6 ? ? Top 10 Challenges in Extreme- Scale Data Visual Analytics ! In Situ Analysis ! Perform as much analysis as possible while the data are still in memory ! Interaction and User Interfaces ! Machine-based automated sys

5、tems vs. Human Cognition ! Large-Data Visualization ! Data projection and dimension Reduction, display technology ! Databases and Storage ! A cloud-based solution might not meet the needs ! Algorithms ! Address both data-size and visual-efficiency issues 11 ? ? BDTC - Beijing, 2013-12-6 ? ? Top 10 C

6、hallenges in Extreme- Scale Data Visual Analytics ! Data Movement/Transport, & Network Infrastructure !Efficiently use networking resources and provide convenient abstractions ! Uncertainty Quantification !Cope with incomplete data ! Parallelism ! Domain and Development Libraries, Frameworks, and To

7、ols ! Affordable resource libraries, frameworks, and tools ! Social, Community, and Government Engagements 12 ? ? BDTC - Beijing, 2013-12-6 ? ? Challenges in Big Data Visualization/Visual Analytics - 1? ? ! Integrating heterogeneous Data from different resources and scales? 13 ? ? BDTC - Beijing, 20

8、13-12-6 ? ? Beijing Taxi GPS data ? ? 14 ? ? BDTC - Beijing, 2013-12-6 ? ? Data? ? ! Beijing taxi GPS data ! Size: 34.5GB ! Taxi number: 28,519 ! Sampling point number: 379,107,927 ! Time range: 2009/03/0225 (24 days, but 03/18 data is missing) ! Sampling rate: 30 seconds per point (but 60% data mis

9、sing) ! Beijing road network (from OpenStreetMap) ! Size: 40.9 MB ! 169,171 nodes and 35,422 ways? 15 ? ? BDTC - Beijing, 2013-12-6 ? ? 16 ? ? BDTC - Beijing, 2013-12-6 ? ? 17 ? ? BDTC - Beijing, 2013-12-6 ? ? Traffic Jam Detection? ? 18 Traffi c&Jam&Detec,on? Raw&taxi& GPS&Data? Raw&Road& Network? Cleaned& GPS&Data? Processed& Road& Network? GPS&Trajectories&Matched& to&the&Road&Network? Road&Speed&Data? Traffi c&Jam&Event&Data? ? 9:10&am? 55&km/h? 9:20&am? 10&km/h? 9:30&am? 12&km/h? 9:40&am? 45&km/h? ? a? Defi ning&propaga,on&based&on&

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