Email Viz Future Directions - PowerPoint PPT Presentation

About This Presentation
Title:

Email Viz Future Directions

Description:

It's easy to see the main trends. But often we want the rare but unexpected ... after a new Star Trek series comes on the air before characters from the series ... – PowerPoint PPT presentation

Number of Views:87
Avg rating:3.0/5.0
Slides: 24
Provided by: unkn491
Category:

less

Transcript and Presenter's Notes

Title: Email Viz Future Directions


1
Email VizFuture Directions
  • Marti Hearst
  • UC Berkeley

2
Outline
  • Important Infoviz Principle
  • Tough Data Mining Problem
  • The infrequent important thing
  • Interfaces tailored to user goals
  • Intelligence Analysts
  • Investigative Reporters
  • Promising Future Directions
  • Integration of task, viz, and content analysis
  • Mixed-Initiative Interaction

3
Important InfoViz Principle
  • Distinguish between

PRESENTATION
ANALYSIS
4
Tough Data Mining Problem
  • Its easy to see the main trends
  • But often we want the rare but unexpected and
    important event
  • Russian oil company example
  • Schwarzenegger and Enron
  • Cigarettes and kids
  • Person on the periphery who is working stealthily
    to influence things
  • Deep throat

5
Intelligence Analysts
6
Intelligence Analysts
  • Interviews wit active counter-terrorist analysts
  • Great diversity in
  • Goals
  • Computing environments
  • Biggest problems are social/systemic
  • Many mundane IT problems as well

7
Mundane IT Problems
  • System incompatibilities
  • Data reformatting
  • Data cleaning
  • Documenting sources
  • Archiving materials

8
Intelligence Analysts Problem 1
  • Look at a series of reports, images,
    communication patterns
  • Try to build a model of what is going on
  • Follow leads
  • Compare to previous situations
  • Recent problem
  • Groups are changing their behavior patterns
    quickly
  • Very little use of sophisticated software tools

9
Intelligence Analysts Problem 2
  • Given a large collection
  • Roll around in the data
  • See what has been touched
  • Tools should indicate which parts of the
    collection have been examined and which have yet
    to be looked at, and by whom
  • View data in several different ways
  • Data reduction methods such as MDS, SVD, and
    clustering often hide important trends.

10
Intelligence Analysts Problem 2
  • Dont show the obvious
  • e.g., Cheney is president
  • Dont show what youve already shown
  • Only show the most recent version
  • Show which info is not present
  • Changes in the usual pattern
  • Something stops happening

11
Intelligence Analysts Problem 3
  • Prepare a very short executive summary for the
    purposes of policy making
  • Really the culmination of a cascade of summaries
  • Reps from different agencies meet and pow-wow
    to form a view of the situation
  • Rarely, but crucially, must be able to refer back
    to original sources and reasoning process for
    purposes of accountability

12
Investigative Reporter Example
  • Looking for trends in online literature
  • Create, support, refute hypotheses

13
Investigative Reporter Example
Clustering Corpus-level statistics,
Co-occurrence statistics Contrasting collection
statistics
What are the current main topics? What are the
new popular terms? How do they track with the
news?
14
Investigative Reporter Example
Named-entity recognition Creating a list of
terms Apply the list to a Subcollection Create
regex rules with POS information
How long after a new Star Trek series comes on
the air before characters from the series appear
in stories?
How often do Klingons initiate attacks against
Vulcans, vs. the converse?
15
Integration
  • TAKMI, by Nasukawa and Nagano, IBM systems
    Journal 40(4), 2001
  • The system integrates
  • Real tasks (CRM, patent analysis)
  • Content analysis
  • Information Visualization

16
  • TAKMI, by Nasukawa and Nagano, 2001
  • Docs containing windows 98

17
CRM
  • TAKMI, by Nasukawa and Nagano, 2001

18
  • TAKMI, by Nasukawa and Nagano, 2001

19
  • TAKMI, by Nasukawa and Nagano, 2001

20
  • TAKMI, by Nasukawa and Nagano, 2001

21
  • TAKMI, by Nasukawa and Nagano, 2001

22
  • TAKMI, by Nasukawa and Nagano, 2001

23
Mixed-Initiative Interaction
  • Balance control between user and agent
  • In Spotfire demo, system adjusts axes after
    other category hidden
  • EDA
  • User selects a subset of data based on
    interesting-looking grouping
  • System then does stats on this subset in the
    background while user continues to work
  • Then system notifies user of interesting trends
  • See the AIDE system
  • St. Amant, R., Dinardo, M. D., and Buckner, N.
    (2003). Balancing Efficiency and Interpretability
    in an Interactive Statistical Assistant.
    Proceedings of IUI.
Write a Comment
User Comments (0)
About PowerShow.com