Read e-book online Analysis of Symbolic Data: Exploratory Methods for PDF

By Edwin Diday (auth.), Prof. Dr. Hans-Hermann Bock, Prof. Edwin Diday (eds.)

ISBN-10: 3540666192

ISBN-13: 9783540666196

ISBN-10: 3642571557

ISBN-13: 9783642571558

Raymond Bisdorff CRP-GL, Luxembourg the improvement of the SODAS software program in keeping with symbolic info research was once broadly defined within the past chapters of this booklet. It was once observed through a chain of benchmark actions related to a few reliable statistical institutes all through Europe. companions in those benchmark actions have been the nationwide Statistical Institute (INE) of Portugal, the Instituto Vasco de Estadistica Euskal (EUSTAT) from Spain, the place of work For nationwide records (ONS) from the uk, the Inspection Generale de l. a. Securite Sociale (IGSS) from Luxembourg 1 and marginally the college of Athens . The relevant objective of those benchmark actions was once to illustrate the usefulness of symbolic facts research for functional statistical exploitation and research of respectable statistical information. This bankruptcy goals to file in short on those actions through offering a few signifi­ cant insights into functional effects acquired by way of the benchmark companions in utilizing the SODAS software program package deal as defined in bankruptcy 14 below.

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3 of this book. Standard decision trees have been extended to symbolic data by Ciampi, Diday, Lebbe, Perinel & Vignes (1996), Perinel (1996), and Conruyt (1994) in the case of structured data. In the same direction, E. C. M. 2). See also E. Auriol (1995) for a link to the domain of casebased reasoning. In order to select the symbolic variables which discriminate optimally individuals or classes of individuals, several results were obtained by Vignes (1991) and, more recently, by Ziani (1996). It is often useful to calculate dissimilarities between symbolic objects.

2: Y = the type of a figure in the two-dimensional plane (Fig. ngl~agOn ellit. 3: regional assignment of a place in Europe with the range Y displayed in the (incomplete) Fig. 3. ~\~ France Germany Portugal UK Belgium ~/ Bruss Vlan \ Wall /\ / \ \ ...... Bay ... Sach I \ /\'" ... 3: Hierarchical system of administrational units in Europe 30 2 The Classical Data Situation In the context of a taxonomic variable Y with the range y = {a, b, ... } and the hierarchy 1{, the following terminology is typically used (see Fig.

In factorial analysis, Cazes, Chouakria, Diday & Schektman (1997) and Lauro & Palumbo (1998) defined a principal component analysis of individuals described by a vector of numerical intervals, and in the same direction Verde & De Carvalho (1998) proposed a method which takes care of given dependence rules between variables. 3 of this book. Standard decision trees have been extended to symbolic data by Ciampi, Diday, Lebbe, Perinel & Vignes (1996), Perinel (1996), and Conruyt (1994) in the case of structured data.

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Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data by Edwin Diday (auth.), Prof. Dr. Hans-Hermann Bock, Prof. Edwin Diday (eds.)


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