这是一篇来自英国的关于大数据和可视化分析的计算机代写
Visualization for Big Data
- Visualization needed to
– Design/validate processing algorithms
– Gain insights
– Communicate findings
- Methods
– Multivariate visualization techniques
– Visual analytics
– Leverage high-resolution displays
Visual analytics is …
- The scientific discovery method needed to solve
Grand Challenge problems
– Illuminating the Path: The Research and Development
Agenda for Visual Analytics (2005).
- Homeland security (USA)
- “… counter future terrorist attacks … facilitate advanced
analytical insight”
- https://ils.unc.edu/courses/2017_fall/inls641_001/books/
RD_Agenda_VisualAnalytics.pdf
– Mastering the Information Age: Solving Problems with
Visual Analytics (2010).
- Fraud, business, health, science, etc.
- http://www.visual-analytics.eu/book/aboutbook/
- Key visualization method for Big Data
Automation
- Best when looking for known patterns
– e.g., OLAP cubes
- Designed to generate particular report
- Fast (database optimisation)
– Need to know model
- And (often) parameters
– Or derive model from vast quantity of data
- “Google” approach
- Typically bad for discovery
Video
- Visual Analytics – Mastering the Information
Age
– “Big data” applications
- Biology: High-throughput genomics
- Business intelligence: Competitive advantage
- Bank fraud: Find patterns faster than
criminals change them
- Epidemics: Cause of outbreak
– http://www.youtube.com/watch?v=K9PvskathGI
Epidemics (1)
- Initial analysis
– Hypothesis: Infectious disease?
– Patient treatment data
– Geographic visualization
– High-resolution display-wall
- 32 x 30-inch displays (131 million pixels)
- 18 x computers
- Dedicated 10 megabit network
– Small-group collaboration
- Outbreak stopped suddenly
– Analysts’ knowledge of epidemic patterns
- Hypothesis: Caused by food poisoning?
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