Announcement and Call for Papers DataClean 2002 29th - 31st May 2002,
Jyvaskyla, Finland
NB WE would like abstracts by 4 March please
Aim
This conference will be devoted to techniques for dealing with erroneous
and
missing data in large scale statistical data processing. Such data
represent
a fundamental problem for the data systems of official statistical agencies
as well as private enterprises. In particular, the conference will focus on
the identification and correction of errors and outliers in data and on
imputation for missing data values. Although this topic is not a new one,
the focus will be on recent developments in the application of computer
intensive methods to these problems, particularly those based on the
application of neural net and related methods, and their comparison with
more established methods.
Topics
* Neural networks and related computer intensive classication methods
for
data editing and imputation
* Modern robust techniques for outlier detection and correction.
* Error localization with erronous observations.
* Tree-based classifiers for data editing and imputation.
* Bayesian methods for error detection and imputation.
* Multiple imputation.
* Graphical tools for data validation and checking.
* Classical data editing and imputation methods.
Call for Abstracts
We invite abstracts of 200 to 300 words for contributed papers. We are
especially interested in papers that present innovative methods. Also
software demonstrations and evaluations are welcome. Your abstract
(English)
should include the presenter's name, affiliation, address, telephone and
fax
numbers, and e-mail address.
The deadline for abstracts is March 4, 2002.
Submissions can be made via DataClean 2000 website
http://erin.mit.jyu.fi/dataclean
or to
Pasi Koikkalainen
DataClean Organization Chair
University of Jyvaskyla, Department of Mathematical Information Technology,
P.O.Box 35, FIN-40351, Jyvaskyla, Finland.
[EMAIL PROTECTED]
Scientific Programme Committee
Jim Austin (Univ. of York, UK), Giulio Barcaroli (ISTAT, Italian
Statistical
Institute), Raymond Chambers (Univ. of Southampton, UK) , John Charlton
(Office for National Statistics, UK), Ton de Waal (Statistics Netherlands),
Alex Gammerman (Royal Holloway University, UK), Beat Hulliger (Swiss
Federal
Statistical Office), Pasi Koikkalainen (University of Jyvaskyla), Phil
Kokic
(Insiders, Germany), Seppo Laaksonen (R&D of Department of Statistics
Finland), Birger Madsen (Novo Nordisk, Denmark). Pascal Riviere (INSEE,
France)
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