Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN,...

9
Contents PLENARY SESSIONS DmAyEDWIN Advances in symbolic data analysis and industriai applications LAURO ATALE CARLO New trends in multiple conjoint analysis MEULMAN JAQUELINE Optimal ordering oj objects in multivariate data analysis, including non linear transformations oj variables MOUSTAKl lRENE An overview oj jactor analysis models jor categorical data SEMI PLENARY SESSIONS DIATTAJEAN Cluster structures: Links with dissimilarity functions, Galois lattices and association rules 3IUDICI PAOLO Statistica! models jor risk governance oj public services 'IARDY ANDRÉ The Poisson processes in cluster analysis ,ICILIANO ROBERTA rwO-CLASS Trees: a tree-based methodological framework: INVITED SESSION STATISTICAL TOOLS FOR ANAL YSING NON-CONVENTIONAL DATA CHAIRS: SIMONA BALBI, GERMANA SCEPI IRUZZESE DARlo, GIANI UMBERTO, MORMILE MAURO _lutomatic Multilevel Thresholding based on a Fuzzy Entropy Measure ,A ROCCA MICHELE, GIORDANO FRANCESCO, PARRELLA MARIA LUCIA , 'tatistical Modeling oj Complex Time Series 11ISURACA MICHELANGELO, MIELE RAFFAELE , m-Coiony based Tree Inductionfor Text 3 5 9 Il 15 19 23 27 33 37 41

Transcript of Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN,...

Page 1: Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN, GELGON MARC 1 icremental clustering in a data stream with aflock of agents 205 ( ADORET

Contents

PLENARY SESSIONS

DmAyEDWINAdvances in symbolic data analysis and industriai applications

LAURO ATALE CARLONew trends in multiple conjoint analysis

MEULMAN JAQUELINEOptimal ordering oj objects in multivariate data analysis,

including non linear transformations oj variables

MOUSTAKl lRENEAn overview oj jactor analysis models jor categorical data

SEMI PLENARY SESSIONS

DIATTAJEANCluster structures: Links with dissimilarity functions,

Galois lattices and association rules

3IUDICI PAOLOStatistica! models jor risk governance oj public services

'IARDY ANDRÉ

The Poisson processes in cluster analysis

,ICILIANO ROBERTArwO-CLASS Trees: a tree-based methodological framework:

INVITED SESSION

STATISTICAL TOOLS FOR ANAL YSINGNON-CONVENTIONAL DATA

CHAIRS: SIMONA BALBI, GERMANA SCEPI

IRUZZESE DARlo, GIANI UMBERTO, MORMILE MAURO_lutomatic Multilevel Thresholding based on a Fuzzy Entropy Measure

,A ROCCA MICHELE, GIORDANO FRANCESCO, PARRELLA MARIA LUCIA, 'tatistical Modeling oj Complex Time Series

11ISURACA MICHELANGELO, MIELE RAFFAELE

, m-Coiony based Tree Inductionfor Text

3

5

9

Il

15

19

23

27

33

37

41

Page 2: Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN, GELGON MARC 1 icremental clustering in a data stream with aflock of agents 205 ( ADORET

XVI SFC-CLADAG 2008

SCEPI, GERMANA, MA TANO FABIO, MILONE GABRIELLAClustering radar satellite data: a data mining approach

INVITED SESSION

FINITE MIXTURE MODELS

FOR CAUSAL INFERENCE AND CLASSIFICATION

CHAIR: FRANCESCO BARTOLUCCI

FORCINA ANTONIOLatent class models as a tool in causai inference

GRILLI LEONARDOCausai inference through principal stratification:

a special type of latent class modelling

ROCCI ROBERTO, INGRASSIA SALVATOREGaussian mixture models: constrained and penalized approaches

INVITED SESSION

CLASSIFICATION MODELS FOR COMPLEX DATACHAIR: ANDRA CERIOLI

CALÒ DANIELA GIOVANNASome developments in forward search clustering

CORETTO PIETRORobust Mixture Modelling

MORLINI ISABELLAMixed mode data clustering: an approach

based on tetrachoric correlations

INVITED SESSION

NON-PARAMETRIC ESTIMATION IN SPACE TIME DOMAINCHAIR: MARCELLO CHIODI

ADELFIO GIADA, CHIODI MARCELLONonparametric intensity estimation in space-time point

ALFÒ MARco, NIEDDU LUCIANO, VICARI DONATELLAMixture models for mapping multivariate diseases

with spatial information

45

51

55

59

65

69

73

79

83

Page 3: Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN, GELGON MARC 1 icremental clustering in a data stream with aflock of agents 205 ( ADORET

Contents XVII

MINEO ANGELO, AUGUGLlARO LlnGI4n Enhancement ofthe Plaid Model Algorithm 89

INVITED SESSION

NEW DEVELOPMENTS FOR MODELING DATA

IN EDUCATIONAL CONTEXT

CHAIR: STEFANIA MIGNANI

EZZI DOMENICA FIOREDISTELLAt multilevel model to assess job-competence of Graduates 93

v:lATTEUCCIMAR!AGIULIA, VELDKAMP BERNARD P.ncluding Empirical Prior lnformation in Test Administration 97

tAMPICHINI CARLA, GRlLLI LEONARDOdeasurement error in multilevel models with sample cluster means 101

. 'ARRlALE ROBERTA, GIUSTI CATERlNAmultilevel mixture factor model for longitudinal data:

the study ofjob satisfaction 105

INVITED SESSION

MULTIVARlATEMETHODOS IN SENSORY ANALYSIS

CHAIR: FRANCESCO PALUMBO

I 'ESPOSITO MARlA ROSARlA, PALUMBO FRANCESCO, RAGOZINI GIANCARLOr New Exploratory Multivariate Method for Interval-coded Sensory Data 111

F \GÈS JÉROME, LE SÉBASTIEN11 'ultiple Factor Analysis applied lo sensory data:

overview and recent developments 115

Il )MANO ROSARlA, VESTERGAARD JANNIE S., KOMPANY-ZAREH MOHSEN,BREDIE WENDERL. P.

A 'onitoring panel performance within and between sensory experimentsby multi-way analysis 119

INVITED SESSION

CLASSIFICATION TECHNIQUES FOR CREDIT RISK EV ALUATIONCHAIR: NICOLA TORELLI

F} I SILVIA

k »del clustering e model averaging 125

Page 4: Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN, GELGON MARC 1 icremental clustering in a data stream with aflock of agents 205 ( ADORET

XVIII SFC-CLADAG 2008

MENARDI GIOVANNA, TORELLI NICOLAEvaluating enterprise risk of default using boosting procedures 129

STANGHELLINI ELENAOn reject inferencefor binary response models 133

INVITED SESSION

COMPLEX MODELS FOR EXPERIMENT AL SCIENCES

CHAIR: MAURIZIO VICHI

ARIMA SERENA, T ARDELLA LucxBayesian Tools for Phylogenetic Studies 139

BRUTTI PIERPAOLO, DE SANTIS FULVIO, GUBBIOTTI STEFANIABayesian sample size determination and re-estimation

using mixtures of prior distributions 143

DJ CIACCIO AGOSTINOBootstrap and nonparametric predictors to impute missing data 147

PERONE P ACIFICO MARcoNonparametric methods for determining filaments of galaxies 151

CONTRIBUTED PAPERS

ABOESSELAM RAFIKDiscriminant Multiple Correspondence Analysis 157

ABOESSELAM RAFIK, CIEPLY SYLVIE, LE NADANT ANNE-LAURESelection ofLBO targets by Private Equity Firms: the French case 161

ARBORETTI GIANCRlSTOFARO Rosx, BASSO DARlO, BONNINI STEFANO, CORAINLIVIO, SALMA SO LUIGI

On global indicators for multivariate ordinal data 165

ATTRATTO G., GUARRACINO MARio ROSARlO, FEMINIANO D.Strengthening J-ReGEC classifier 169

BALZANELLA ANTONIO, ROMANO ELVIRA, VERDE ROSANNASummarizing datastreams by functional patterns 173

BERTRAND FREOERlC, MAUMY MYRlAM, ROLLAND ANNE, JACQUET STEPHANUsing multitable techniques for assessing Phytoplankton Structure

and Succession in the Reservoir Marne (Seine Catchment Area, France). 177

T

Page 5: Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN, GELGON MARC 1 icremental clustering in a data stream with aflock of agents 205 ( ADORET

Contents XIX

BIANCONCINI SILVIA, CAGNONE SILVIAMultivariate latent growth models for continuous repeated measures 181

BIERNACKl CHRISTOPHE, CELEUX GILLES, LANGROGNET FLORENT, GOVAERTGERARD

Mixmod: a software for model-based classification with continuousand categorical data 185

BILLOT ROMAIN, SUCHIER HENRl-MAxIME, LALLICH STEPHANEToward an Unsupervised Boosting-Like Approach 189

3INI MATILDE, VELUCCHI MARGHERITA'talian Firms ' Performance and Geographical Location

in High-tech Industries: A Robust AnaIysis 193

3ISSON GILLES, HUSAIN FAWADt co-simi/arity measure 197

lOARI GIUSEPPE, CANTALUPPI GABRIELE, BERTELLI STEFANO, fon-linear relationships in SEM with Iatent variabIes:

some theoretical remarks and a case study 201

l :RUNEAU PIERRlCK, PICAROUGNE FABIEN, GELGON MARC1 icremental clustering in a data stream with a flock of agents 205

( ADORET MARINE, PAGES JEROME, LE SEBASTIENlléments de validité en analysefactorielle multiple 209

( AMIZ SERGIO, MONDAUTO LEOPOLDO} actorial and discrimination strategies for the estimalion

of the provincial rate of irregular work 213

C '\RR10N FABIAN, MESKENS NADINE, V ANDAMME JEAN-PHILIPPEA iademic Failure: identifying "high risk:" students

by data mining methods 217

C iRCHIELLO PAOLA, BONAFEDE CONCETTOA study on text modelling via Dirichlet Compound Multinomial 221

C 111. VENT MARIE, LECHEV ALLlER YVES, VERNIER FRANCOISE, PETIT KEVTNC assification divisive sous contraintes géographiques 225

C liRICO PAOLOG 'aphical Analysis of Links in a Transport Network

via Multidimensional Scaling 229

Cl EUZIOU GUlLLAUME, DIAS GAELAJ orentissage de mesures de simi/arité sémantiques :

étuded'une variante de la mesure lnfoSimba 233

Page 6: Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN, GELGON MARC 1 icremental clustering in a data stream with aflock of agents 205 ( ADORET

xx SFC-CLADAG 2008

CONVERSANO CLAUDIO, DUSSELDORP ELISEModeling interaction effects in classification and regression:

a comparative analysis 237

CORBELLfNI ALDO, CROSATO LISA, GANUGI PIERORobust Confidence lntervals for Pareto Density Estimation 241

CORDUAS MARCELLAA testing procedure for clustering ordinal data by CUB models 245

COSTA MICHELE, DE ANGELIS LUCASector classification in stock markets: a latent class approach 249

CSERNEL MARC, BERTRAND PATRlCEFrom Criticai edition to edit distances: the case of Sanskrit texts 253

CUADRAS CARLES M.Geometric variability, weighted metric scaling

and parametric correspondence analysis 257

D'AMBROSIO ANTONIO, PECORARO MARCELLOWeb Structure Mining through implicit behaviours

via Multidimensional Scaling 261

DE CANTIS STEFANO, FERRANTE MAUROSeasonality in tourism: a criticai review of its main measures 265

DE CARVALHO FRANCISCO DE A. T., LIMA NETO EUFRASIO DE A. L.,COELHO NETO JOSÉ F.

A new center and range method for fitting a linear regression methodfor symbolic interval data 269

DE STEFANO DOMENICOSocia! network comparison using laplacian matrix

and euclidean commute time distance 273

DE Vos DANIELLA, V ANHOOF KOEN, V AN LANDEGHEM HENDRIKResearch on Knowledge Discovery Methods in Databases to Predict

Logistical Performances Related to Company's Financia! State:a Meta-analysis 277

D'EpIFANIO GIULIOAbout a Type of Quasi Linear Estimating Equation Approach 281

DI ALLO ABDOULA YE BANIRÉ, BADESCU DUNAREL, MAKARENKOV VLADIMIR,BLANCHETTE MATHIEU

Phylogeny ofthe Human Papilloma Viruses and Carcinome classification 285

Page 7: Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN, GELGON MARC 1 icremental clustering in a data stream with aflock of agents 205 ( ADORET

Contents XXI

DRAGIEV PLAMEN, NADON ROBERT, MAKARENKOV VLADIMIRModeling the relationships between experimental high-throughput

screening data and related chemical descriptors 289

EDEFONTI VALERIA, RANDI GIORGIA, DECARLI ADRIANO, LA VECCHIA CARLO,FERRARONI MONICA

Clustering dietary habits and the risk of breast and ovarian cancers 293

FABBRIS LUIGIOne-dimensional preJerence data imputation through ransitive rules 297

FERNANDEZ MIGUEL, RUEDA CRISTINA, SAL VADOR BONIFACIOIncorporation of additional information to discrimination procedures 30 l

GALIMBERTI GIULIANO, PILLATI MARILENA, SOFFRITII GABRIELERobust regression tree-based methods 305

GIOMMI ANDREA, GIUSTI ANTONIO, PETRUCCI ALESSANDRABuilding zoning systems and the new challenges oJ ltalian Agriculture

in the Common Agricultural Policy reform context 309

3REENACRE MICHAELDynamic visualizations oJparametrically linked multivariate methods 313

JROSSER DA VID, RALAMBONDRAINU HENRI'ndices de similarité sur des données arborescentes 317

:RPlNO ANTONIO, IACONO MAuRO'mproving MHIST algorithmJor multidimensional histogram extraction

from large databases 321

"A8A ELISABETA, BALAN CHRlSTIANA BRIGITIE, lATU CORNELìtatistical analysis of the regional disparities concerning

the economie growth 325

OLLOIS FRANCOIs-XA VIER, NADIF MOHAMEDigglomerative and divisive hierarchical two-way clustering 329

~ YTOUE UBERALL MEHDI, DUPLESSIS SÉBASTIEN, NAPOLI AMEDEO"oward the discovery of itemsets with significam variations

in gene expression matrices 333

~UNTZP ASCALE, LERMAN ISRAEL»irecetd hierarchy and directed ultrametricity 337

-AMOLLE MYRlAM, ZERDAZI AMAR"1atching of enhanced XML schemas with a measure of context similarity 341

Page 8: Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN, GELGON MARC 1 icremental clustering in a data stream with aflock of agents 205 ( ADORET

XXII SFC-CLADAG 2008

LAURO CARLO NATALE, GRASSlA MARIA GABRIELLA, NAPPO DANIELA,MIELE RAFFAELE

Methods of quantification of qualitative variables and their usein Structural Equations Models 345

LA VERGNE JULIEN, AzZAG HANANE, GUINOT CHRISTlANE, VENTURlNI GILLESOn building and visualizing proximity graphs for large data sets

with artificial ants 349

LE SEBASTIEN, CADORET MARINE, PAGES JEROMEA nove! Factorial Approachfor analyzing Sorting Task data 353

LE GRAND BENEDICTE, AUFAURE MARIE-AUDE, SOTO MICHELSpatial visualization of conceptual data 357

LE POULIQUEN MARc, BARTHELEMY JEAN-PIERREVisualisation de la contamination en critique textuelle 361

LOURME ALEXANDRE, BIERNACKI CHRISTOPHEGaussian model-based classification when training

and test populations differ: Estimating jointly related parameters 365

MAGAGNOLI UMBERTO, CANTALUPPI GABRIELEThe Choice ofthe Parameter Values in a Multivariate Model

of a Second Order Surface with Heteroschedastic Error 369

MAIZ NORA, BOUSSAID OMAR, BENTA YEB FADILAOntology Merging by Clustering for the Data Warehouse Building

on-the-fly 373

MARlANI PAOLOCommunication models: a descriptive approach 377

MIELE RAFFAELEA Genetic Algorithm to compute variance for Interval Data 381

MUCCIARDI MASSIMOUse of a flexible weight matrix in a local spatial statistic 385

PENNY KA Y, CHESNEY THOMASData Mining Trauma Injury Data with Imputed Values 391

PITZALIS MARCO, PORCU MARIANO, SULIS ISABELLAScaling the latent variable Cultura l Capital via Item Response Models

and Latent Class Analysis 393

ROSSI FABRICE, LECHEV ALLIER YVESConstrained variable clustering for functional data representation 397

Page 9: Contents · some theoretical remarks and a case study 201 l:RUNEAUPIERRlCK, PICAROUGNE FABIEN, GELGON MARC 1 icremental clustering in a data stream with aflock of agents 205 ( ADORET

Contents XXIII

RUSSOLILLO GIORGIO4 proposal for handling categorical predictors

in PLS regression framework 401

SAMI BEN JABEURPLS Logistic regression: Application to the detection of failure businesses 405

SESTON MORGANRecognition of Robinsonian dissimilarities in O(n2 log n) 409

SIGNORlELLO SIMONA, MARINo MARINAFrom histogram data to model data analysis 413

SUREAU FLORlAN, BOUALI FATMA, VENTURINI GILLESOn improving OLAP visualizations with rearrangement clustering 417

TARSITANO AGO STINO4 visual heuristic for detecting outliers 421

TRlNCHERA LAURA, ESPOSITO VINZI VINCENZOAssessment of latent class detection in component-based

Structural Equation Modeling 425

TuTORE V ALERlOOptimal Scaling Treesfor Three-Way Data 429

V ANDEWALLE VINCENT, BIERNACK1 CHRlSTOPHE, CELEUX GILLES, GOVAERTGERARD

Are unlabeled data useful in semi-supervised model-based classification?Combining hypothesis testing and model choice 433

VICHIMAURlZIO, VICARl DONATELLA, KIERS HENK A.L.Factorial K-means for mixed variables 437

Index of Authors 441