Interactive Event Sequence Query and Transformation

Speaker: Megan Monroe , University of Maryland

Date: Friday, December 13, 2013

Time: 1:00 PM to 2:00 PM

Refreshments: 12:45 PM

Public: Yes

Location: 32-G449 (Kiva)

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Host: David Karger, MIT CSAIL

Contact: David Karger,

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Reminder Subject: TALK: Interactive Event Sequence Query and Transformation

In our burgeoning world of pervasive sensors and affordable data storage, records of timestamped events are being produced across nearly every domain of personal and professional computing. This temporal event data is a fundamental component of electronic health records, process logs, sports analytics, and more. When people talk about predictive analytics, and leveraging past events to make better decisions in the future, they are frequently talking about this data type.

Despite such overwhelming potential, however, this data type is notoriously¬Ö¬Ötricky. It is not well-suited to standard, relational query languages, resulting in complex and error-prone queries. Additionally, the recorded events do not always exactly reflect either the real world events that transpired or the perspective of a given study, requiring a series of transformations on the underlying data. My work demonstrates how visualization and visual analytics tools can extend beyond the typical bounds of data exploration, and serve as a critical aid for managing temporal event data through both query and data transformation.

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See other events that are part of the HCI Seminar Series 2013/2014.

Created by David Karger Email at Thursday, December 05, 2013 at 11:42 PM.