FINDING PATTERNS IN TEMPORAL DATA KRIST WONGSUPHASAWAT JOHN ALEXIS - PowerPoint PPT Presentation
FINDING PATTERNS IN TEMPORAL DATA KRIST WONGSUPHASAWAT JOHN ALEXIS GUERRA GMEZ TAOWEI DAVID WANG CATHERINE PLAISANT BEN SHNEIDERMAN HUMAN-COMPUTER INTERACTION LAB UNIVERSITY OF MARYLAND FINDING PATTERNS IN TEMPORAL DATA KRIST
FINDING PATTERNS IN TEMPORAL DATA KRIST WONGSUPHASAWAT JOHN ALEXIS GUERRA GÓMEZ TAOWEI DAVID WANG CATHERINE PLAISANT BEN SHNEIDERMAN HUMAN-COMPUTER INTERACTION LAB UNIVERSITY OF MARYLAND
FINDING PATTERNS IN TEMPORAL DATA KRIST WONGSUPHASAWAT JOHN ALEXIS GUERRA GÓMEZ TAOWEI DAVID WANG CATHERINE PLAISANT BEN SHNEIDERMAN HUMAN-COMPUTER INTERACTION LAB UNIVERSITY OF MARYLAND
NEW STUFF Needs for an overview -> LifeFlow!
TASKS • Example: Finding “Bounce backs” ICU Floor ICU within days • Other questions Arrival ICU
LIFEFLOW VISUALIZE Display the aggregation RECORD RECORD RECORD AGGREGATE Merge multiple records into tree
AGGREGATE • Aggregate by prefix #1 #2 #3 #4 Example with records
AGGREGATE • Aggregate by prefix #1 #2 #3 #4
VISUALIZE • Inspired by the Icicle tree [Fekete Number of files
VISUALIZE (2) • Use horizontal axis to represent time • Video
DEMO – LIFEFLOW When the lines are combined into flow
FUTURE WORK • Comparison ICU Intermediate ICU Intermediate Jan-Mar April-June Floor
TAKE-AWAY MESSAGE Information visualization is a powerful way to explore temporal patterns. You can work with us on new case studies.
TEMPORAL CATEGORICAL DATA Electronic Health Records : symptoms, treatment, lab test Traffic incident logs : arrival/departure time of each unit Student records : course, paper, proposal, defense, etc. Others: web logs, usability study logs, etc.
EXAMPLE – TRAFFIC INCIDENTS
ACKNOWLEDGEMENT D R . P HUONG H O , D R . M ARK S MITH , D AVID R OSEMAN W ASHINGTON H OSPITAL C ENTER http://www.whcenter.org N ATIONAL I NSTITUTES OF H EALTH (NIH) - G RANT CA147489 http://www.nih.gov M ICHAEL P ACK , M ICHAEL V AN D ANIKER C ENTER FOR A DVANCED T RANPORTATION T ECHNOLOGY L AB (CATT L AB http://www.cattlab.umd.edu
TAKE-AWAY MESSAGE Information visualization is a powerful way to explore temporal patterns. You can work with us on new case studies. {kristw, jguerrag, tw , plaisant, ben}@cs.umd.edu http://www.cs.umd.edu/hcil/temporalviz
Q&A Questions? {kristw, tw , jguerrag, plaisant, ben}@cs.umd.edu http://www.cs.umd.edu/hcil/temporalviz
THANK YOU Thank you
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