Similan (2008-2012)

Description

Similan is an interactive data analysis tool that helps users find records of event sequences that are similar to the target event sequence. Similan implements a customizable similarity measure which computes how two records are similar or dissimilar. Similan provides a user-interface for the users to select record from the database as a target or create a custom target record, and customize search parameters. After the users perform the search, the similarity scores against the target record for all records are computed and all records are ranked by their similarity scores. The results are visualized on the screen with additional filters that allow users to explore the results.

Members

Krist Wongsuphasawat, Catherine Plaisant and Ben Shneiderman

Affiliation

Department of Computer Science and Human-Computer Interaction Lab, University of Maryland

Slides

Video

Link

• Project page on HCIL website

Publications

• Querying event sequences by exact match or similarity search: Design and empirical evaluation by Krist Wongsuphasawat, Catherine Plaisant, Meirav Taieb-Maimon and Ben Shneiderman. Interacting with Computers. Volume 24 Issue 2, March 2012
• Finding Comparable Temporal Categorical Records: A Similarity Measure with an Interactive Visualization by Krist Wongsuphasawat and Ben Shneiderman. in Proc. IEEE Symposium on Visual Analytics Science and Technology (VAST), Atlantic City, NJ, USA, 11-16 October 2009