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MS Final Examination – Subarna Kar


Tuesday, March 31, 2015 10:00 AM - 12:00 PM

Interactive Exploration of High Dimensional Large Tables Using Data Seriation
Entertainment, television and advertising agencies have been undergoing fundamental changes with how they manage their businesses. They use data about TV viewing and actual consumer behavior information to better manage their goals and target advertising. Their tasks typically involve analysis of viewing data with respect to many demographic variables resulting in large data tables. This report describes a visual interface that helps both advertising agencies and network operators/salespersons explore TV analytic data interactively, specifically large, high dimensional tabular query results. We experiment with table seriation algorithms as well as data encoding schemes for use within a tabular data representation. We have followed the Nested Blocks and Guidelines design model to guide us through the visualization process. This report describes our design process, justifications for the design choices, and the resulting tabular data visualization tool.

Major Advisor: Ronald Metoyer
Committee: Carlos Jensen
Committee: Arijit Sinha


Kelley Engineering Center (campus map)
1007
Nicole Thompson
1 541 737 3617
NIcole.Thompson at oregonstate.edu
Sch Elect Engr/Comp Sci
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