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Data Mining - Opportunity and Challenge. Chair - Al Holm Scribe - Steve Beckwith .ppt - Chuck Pullen Fly on Wall - Lee Anne Willson John Good Bill Dillon. Concept Summary.

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data mining opportunity and challenge
Data Mining - Opportunity and Challenge

Chair - Al Holm

Scribe - Steve Beckwith

.ppt - Chuck Pullen

Fly on Wall - Lee Anne Willson

John Good

Bill Dillon

concept summary
Concept Summary
  • Organized data mining may offer a new way for AAVSO to serve the professional astronomy community while encouraging new membership and new life for some existing members.
  • Some changes to existing data collection and management would be needed.
  • Entwined with entire concept of data quality of visual observations.
the promise of data mining
The Promise of Data Mining
  • Activity for beginner to advanced member
  • Requires no telescope or observations
  • Analysis desperately needed, in both AAVSO and other data sets
  • May appeal to new types of “observers”
the peril of data mining
The Peril of Data Mining
  • Requires infrastructure
  • Infrastructure = $
  • Requires Training
  • Training = $
  • Requires evaluation of AAVSO data quality
  • Evaluation = pain!
concept overview data enhancement
Concept Overview- Data Enhancement
  • Existing data base needs to be upgraded to “validated”
  • Rapid, machine-based screening of data necessary to keep interest
  • Some measure of data quality necessary, on both visual, PEP and CCD data.
  • Vol. archival of FITS CCD frames, with pro level header data, important for NVO (more later).
concept overview infrastructure
Concept Overview - Infrastructure
  • Cross platform, free to user, validated software, from simple educational level to high quality analytical .
  • Multi level query
  • Rapid access to new data, perhaps with quality flags
  • In depth training - quantum enhancement of HOA
concept overview marketing
Concept Overview- Marketing
  • Who are the miners?
  • Recruit via the web, non-astronomy based technology media, Sci. Amer., [email protected] example
  • Be inclusive of diverse levels, 4th graders to PhDs, but be wary of results.
  • Define goals and recognize work.
concept overview clients
Concept Overview - Clients
  • Who uses the output?
  • Members
  • Scientific Community
  • Educators
  • The curious...
what about the mass of unevaluated survey data
What about the mass of unevaluated survey data?
  • Data analysis starts at home
  • If we build it - they will come
  • Perfect our system in house first, then invite others to join us.
potholes on the info super hwy
Potholes on the Info. Super Hwy.
  • Interest?
  • Funding (NVO funds possible)
  • Sociopolitical
  • Data flow constrictions (CCD Images)
  • Automation of data quality evaluation
recommendations
Recommendations
  • Develop working group to consult.
  • Combine efforts with overall NVO participation.
  • Update HOA to reflect new opportunities
  • Prepare for change…
conclusion
Conclusion

AAVSO’s mission to promote the science of variable stars requires, in addition to the collection of data, using an integrated suite of database design/upgrade, software, and training for data analysis.

ccd film data archival
CCD/film Data Archival
  • Important future contribution
  • Well within goals of AAVSO
  • Separate but related with data mining
  • Address as part of NVO
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