From [log in to unmask] Sun Jan 20 12:35:40 2002 Received: from probity.mcc.ac.uk (probity.mcc.ac.uk [130.88.200.94]) by irwell.mimas.ac.uk (8.10.2+Sun/8.9.3) with ESMTP id g0KCZeT00030 for <[log in to unmask]>; Sun, 20 Jan 2002 12:35:40 GMT Received: from [194.66.22.94] (helo=fs1.ec.man.ac.uk) by probity.mcc.ac.uk with esmtp (Exim 2.05 #7) id 16SHC8-000FN1-00 for [log in to unmask]; Sun, 20 Jan 2002 12:35:32 +0000 Sender: msrbssp Message-ID: <[log in to unmask]> Date: Sun, 13 Jan 2002 11:06:55 +0000 From: Simon Peters <[log in to unmask]> Reply-To: [log in to unmask] X-Mailer: Mozilla 4.7 [en] (X11; I; Linux 2.0.34 i586) X-Accept-Language: en MIME-Version: 1.0 To: [log in to unmask] Subject: ALLSTAT XPOST: CFP for Data-Clean 2002 conference. Content-Length: 4128 Announcement and First Call for Papers Data-Clean 2002 29th-31st May 2002, Jyvaskyla, Finland 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 classification methods for data editing and imputation for data editing and imputation. * Modern robust techniques for outlier detection and correction. Error localization with erroneous 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. [log in to unmask] jyu.fi <mailto:[log in to unmask]> 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/ University of Southampton, UK) ------------------------------------------------------------------------