29th - 31st May 2002, Jyväskylä, Finland
Mattilanniemi 2, Agora Building
University of Jyväskylä
The Academy of Finland
The European Union (via the EurEdit prject)
International Association of Survey Statisticians (IASS)
The Finnish Statistical Society
R&D Department of Statistics Finland
This section contains latest information about
a) Proceedings and publications (updated 25. April)
Note: we are currently editing exteted abstracts
Some photos of the conference can be found from here
Aim of DataClean 2002
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.
- Use of neural networks and related computer intensive
classication methods for data editing and imputation
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.
Any questions may be directed to
DataClean Organization Chair
University of Jyväskylä/
Department of Mathematical Information Technology
P.O.Box 35, FIN-40351 Jyväskylä, Finland.
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 Statistical Office),
- Pasi Koikkalainen (University of Jyväskylä),
- Phil Kokic (Insiders, Germany),
- Seppo Laaksonen (R&D of Department of Statistics Finland),
- Birger Madsen (Novo Nordisk, Denmark),
- Pascal Riviere (INSEE, France/ University of Southampton, UK).
Call for papers (PostScript version, A4 size)