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E-raamat: Classification and Data Analysis: Theory and Application Proceedings of the Biannual Meeting of the Classification Group of Societa Italiana di Statistica (SIS) Pescara, July 3-4, 1997

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International Federation of Classification Societies The International Federation of Classification Societies (IFCS) is an agency for the dissemination of technical and scientific information concerning classification and data analysis in the broad sense and in as wide a· range of applications as possible; founded in 1985 in Cambridge (UK) from the following Scientific Societies and Groups: British Classification Society -BCS; Classification Society of North America -CSNA; Gesellschaft fUr Klassifikation -GfKl; Japanese Classification Society -JCS; Classification Group of Italian Statistical Society - COSIS; Societe Francophone de Classification -SFC. Now the IFCS includes the following Societies: Dutch-Belgian Classification Society - VOC; Polish Classification Section - SKAD; Portuguese Classification Association - CLAD; Group-at-Large; Korean Classification Society -KCS. Biannual Meeting of the Classification and Data Analysis Group of SIS The biannual meeting of the Classification and Data Analysis Group of Societa Italiana di Statistica (SIS) was held in Pescara, July 3 -4, 1997. The 69 papers presented were divided in 17 sessions. Each session was organized by a chairperson with two invited speakers and two contributed papers from a call for papers. All the works were referred. Furthermore, during the meeting a discussant was provided for each session. A short version of the papers (4 pages) was.published before the conference.

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Springer Book Archives
I: Classification.- Methodologies in Classification.- Measuring the
influence of individual observations and variables in cluster analysis.-
Consensus classification for a set of multiple time series.- A bootstrap
method for adaptive cluster sampling.- Forecasting a classification.- Fuzzy
Clustering and Fuzzy Methods.- Neural networks as a fuzzy semantic network of
events.- Hierarchical fuzzy clustering: an example of spatio-temporal
analysis.- A new algorithm for semi-fuzzy clustering.- Fuzzy classification
and hyperstructures: an application to evaluation of urban projects.-
Variable selection in fuzzy clustering.- II : Other Approaches for
Classification.- Discrimination and Classification.- Discriminant analysis
using markovian automodels.- Discretization of continuous-valued data in
symbolic classification learning.- Logistic discrimination by
Kullback-Leibler type distance measures.- An empirical discrimination
algorithm based on projection pursuit density estimation.- Regression Tree
and Neural Networks.- Notes on methods for improving unstable classifiers.-
Selection of cut points in generalized additive models.- Latent budget trees
for multiple classification.- III: Multivariate and Multidimensional Data
Analysis.- Proximity Analysis and Multidimensional Scaling.- Methods for
asymmetric three-way scaling.- Comparison of Euclidean approximations of
non-Euclidean distances.- Analysing dissimilarities through multigraphs.-
Professional positioning based on dominant eigenvalue scores (DES),
dimensional scaling (DS) and multidimensional scaling (MDS) synthesis of
binary evaluations matrix of experts.- Non-metric full-multidimensional
scaling.- Factorial Methods.- Dynamic factor analysis.- A non symmetrical
generalised co-structure analysis for inspecting quality control data.-
Principal surfaces constrained analysis.- Generalised canonical analysis on
symbolic objects.- Analysis of qualitative variables in structural models
with unique solutions.- Spatial Analysis.- Exploring multivariate spatial
data: line transect data.- On the assessment of geographical survey units
using constrained classification.- Kalman filter applied to non-causal models
for spatial data.- Multiway Data Analysis.- A paradigmatic path for
statistical content analysis using an integrated package of textual data
treatment.- The analysis of auxological data by means of nonlinear
multivariate growth curves.- The Kalman filter on three-way data matrix for
missing data: a case study on sea water pollution.- Three-way data arrays
with double neighborhood relations as a tool to analyze a contiguity
structure.- Firm performance analysis with panel data.- Multivariate Data
Analysis.- Detection of multivariate outliers by convex hulls.- Reducing
dimensionality effects on kernel density estimation: the bivariate gaussian
case.- Shewharts control chart: some observations.- Projection pursuit
regression with mixed variables.- Recursive estimation of system parameter in
environmental time series models.- Kernel methods for estimating covariance
functions from curves.- Detection of subsamples in link-free regression
analysis.- Asymptotic prior to posterior analysis for graphical gaussian
models.- IV: Case Studies.- Applied Classification and Data Analysis.- Using
qualitative information and neural networks for forecasting purposes in
financial time series.- A new approach to the stock location assignment
problem by multidimensional scaling and seriation.- Food coding in
nutritional surveys.- UNAIDED: a PC system for binary and ternary
segmentation analysis.- AuthorIndex.- Key Words Index.