Bibliography

Major publications by the team in recent years

[1]

E. Guichard (editor)
Mesures de l'internet, Les Canadiens en Europe, 2004, ouvrage collectif suite au Colloque Mesures de l'internet, Nice, France, 12-14 Mai, 2003.

[2]

P. Bertrand, M. F. Janowitz.
The k -weak hierarchical representations: an extension of the indexed closed weak hierarchies, in: Discrete Applied Mathemathics, April 2003, vol. 127, n^o 2, p. 199–220.

[3]

R. Boulet, B. Jouve, F. Rossi, N. Villa.
Batch kernel SOM and related Laplacian methods for social network analysis, in: Neurocomputing, March 2008, vol. 71, n^o 7–9, p. 1257–1273.

[4]

M. Chavent, F. A. T. De Carvalho, Y. Lechevallier, R. Verde.
New clustering methods for interval data, in: Computational Statistics, 2006, vol. 21, n^o 23, p. 211-230.

[5]

S. Chelcea, P. Bertrand, B. Trousse.
Un Nouvel Algorithme de Classification Ascendante 2-3 Hiérarchique, in: Actes de 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2004), Centre de Congrès Pierre BAUDIS, Toulouse, France, 28-30 Janvier 2004, vol. 3, p. 1471-1480
http://www.laas.fr/rfia2004/actes/ARTICLES/388.pdf.

[6]

B. Conan-Guez, F. Rossi, A. El Golli.
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps, in: Neural Networks, August 2006, vol. 19, n^o 6-7, p. 855–863
http://dx.doi.org/10.1016/j.neunet.2006.05.002.

[7]

A. Da Silva, Y. Lechevallier, F. A. T. De Carvalho, B. Trousse.
Mining Web Usage Data for Discovering Navigation Clusters, in: 11th IEEE Symposium on Computers and Communications (ISCC'06), Pula-Cagliari, Italy, IEEE Computer Society, 26-29 June 2006, p. 910-915
http://doi.ieeecomputersociety.org/10.1109/ISCC.2006.102.

[8]

T. Despeyroux.
Practical Semantic Analysis of Web Sites and Documents, in: The 13th World Wide Web Conference, WWW2004, New York City, USA, 17-22 May 2004
http://www-sop.inria.fr/axis/papers/04www/despeyroux-www2004.pdf.

[9]

T. Despeyroux.
Evolution of Ontologies and Types, in: WWW/Internet 2008 Conference, Freiburg, Germany, October 2008.

[10]

A. El Golli, B. Conan-Guez, F. Rossi, D. Tanasa, B. Trousse, Y. Lechevallier.
Une application des cartes topologiques auto-organisatrices à l'analyse des fichiers Logs, in: Actes des onzièmes journées de la Société Francophone de Classification, Bordeaux, France, Septembre 2004, p. 181–184.

[11]

G. Hébrail, Y. Lechevallier.
Data mining et analyse des données, in: Analyse des données, Hermes, June 2003, p. 340-360.

[12]

A. Marascu, F. Masseglia.
Mining Sequential Patterns from Data Streams: a Centroid Approach, in: Journal of Intelligent Information Systems (JIIS)., November 2006, vol. 27, n^o 3, p. 291-307.

[13]

F. Masseglia, P. Poncelet, M. Teisseire, A. Marascu.
Web Usage Mining: Extracting Unexpected Periods from Web Logs, in: Data Mining and Knowledge Discovery (DMKD) Journal., 2007, DOI 10.1007/s10618-007-0080-z.

[14]

F. Masseglia, D. Tanasa, B. Trousse.
Web Usage Mining: Sequential Pattern Extraction with a Very Low Support, in: Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Hangzhou, China. Proceedings, LNCS, Springer-Verlag, 14-17 April 2004, vol. 3007, p. 513–522.

[15]

F. Rossi, B. Conan-Guez.
Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis, in: Neural Networks, January 2005, vol. 18, n^o 1, p. 45-60
http://hal.inria.fr/inria-00000599.

[16]

D. Tanasa, B. Trousse.
Advanced Data Preprocessing for Intersites Web Usage Mining, in: IEEE Intelligent Systems, March-April 2004, vol. 19, n^o 2, p. 59–65.

Publications of the year

Doctoral Dissertations and Habilitation Theses

[17]

H. Behja.
Plateforme objet d'évaluation orientée point de vue d'un système d'information, University of Casablanca, Morocco, 2009, Ph. D. Thesis.

[18]

A. Da Silva.
Analysis of evolving data: application to the Web usage data (in French), University of Paris IX Dauphine and INRIA-France, 2009, Ph. D. Thesis.

[19]

A. Marascu.
Extraction de motifs séquentiels dans les flux de données, University of Nice Sophia Antipolis, 2009, Ph. D. Thesis.

[20]

F. Masseglia.
Extraction de connaissances l'évolution dans les données et dans les résultats de la fouille, Mémoire d'HDR, University of Nice Sophia-Antipolis, 2009, Ph. D. Thesis.

Articles in International Peer-Reviewed Journal

[21]

F. A. T. De Carvalho, M. Csernel, Y. Lechevallier.
Clustering constrained symbolic data, in: Pattern Recognition Letters, 2009, vol. 30, n^o 11, p. 1037-1045.

[22]

F. A. T. De Carvalho, Y. Lechevallier.
Dynamic Clustering of Interval-Valued Data Based on Adaptive Quadratic Distances, in: IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2009, vol. 39, n^o 6, p. 1295-1306.

[23]

F. A. T. De Carvalho, Y. Lechevallier.
Partitional clustering algorithms for symbolic interval data based on single adaptive distances, in: Pattern Recognition, 2009, vol. 42, n^o 7, p. 1223-1236.

[24]

C. Fiot, F. Masseglia, A. Laurent, M. Teisseire.
Evolution patterns and gradual trends, in: International Journal of Intelligent Systems, 2009, vol. 24, n^o 10, p. 1013–1038.

[25]

F. Masseglia, P. Poncelet, M. Teisseire.
Efficient mining of sequential patterns with time constraints: Reducing the combinations, in: Expert Systems with Applications, 2009, vol. 36, n^o 2, p. 2677-2690.

International Peer-Reviewed Conference/Proceedings

[26]

M. Arnoux, T. Despeyroux.
Multi-représentation d'une ontologie : OWL, bases de données, systèmes de types et d'objets, in: 3ème édition des Journées Francophones sur les Ontologies (JFO'09), Poitiers, France, ACM, December 2009.

[27]

A. Balzanella, Y. Lechevallier, R. Verde.
A new approach for clustering multiple streams of data, in: Classification and Data Analysis 2009, S. Ingrassia, R. Rocci (editors), 2009, p. 417-420.

[28]

M. Charrad, Y. Lechevallier, M. Ben Ahmed, G. Saporta.
Block Clustering for Web Pages Categorization, in: IDEAL, 2009, p. 260-267.

[29]

M. R. Haddad, H. Baazaoui Zghal, M.-A. Aufaure, C. Claramunt, Y. Lechevallier, H. Ben Ghezala.
A User-oriented Accessibility Measure for Spatial Web Personalization, in: GIIW/ECIR 2009 : Geographic Information on the Internet Workshop collocated with the 31st European Conference on Information Retrieval, 2009.

[30]

M. R. Haddad, H. Baazaoui Zghal, M.-A. Aufaure, C. Claramunt, Y. Lechevallier, H. Ben Ghezala.
Towards an integration of space and accessibility in Web personalization, in: W2GIS - Web and Wireless Geographical Information Systems, 2009.

[31]

A. Marascu, F. Masseglia.
A Multi-resolution Approach for Atypical Behaviour Mining, in: Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, p. 899-906.

[32]

A. Marascu, F. Masseglia.
Parameterless outlier detection in data streams, in: ACM Symposium on Applied Computing (SAC), Honolulu, Hawaii, USA, March 9-12, 2009, p. 1491-1495.

[33]

K. Silva, F. A. T. De Carvalho, M. Csernel.
Clustering of Symbolic Data Using the Assignment-Prototype Algorithm, in: IJCNN, 2009, p. 2936-2942.

[34]

G. Singh, F. Masseglia, C. Fiot, A. Marascu, P. Poncelet.
Data Mining for Intrusion Detection: From Outliers to True Intrusions, in: Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, p. 891-898.

[35]

W. Wang, F. Masseglia, T. Guyet, R. Quiniou, M.-O. Cordier.
A general framework for adaptive and online detection of web attacks, in: the 18th International Conference on World Wide Web, WWW 2009, Madrid, Spain, April 20-24, 2009, p. 1141-1142.

National Peer-Reviewed Conference/Proceedings

[36]

M. Charrad, Y. Lechevallier, G. Saporta, M. Ben Ahmed.
Détermination du nombre des classes dans l'algorithme CROKI de classification croisée, in: Extraction et gestion des connaissances (EGC'2009), Actes des 9èmes journées Extraction et Gestion des Connaissances, Strasbourg, France, 27 au 30 janvier, 2009, p. 447-448.

[37]

M. Chavent, Y. Lechevallier, K. Petit, F. Vernier.
Classification divisive sous contraintes. Application au bassin de la Charente, in: 41èmes Journées de Statistique de la SFdS, 2009, p. 260-267.

[38]

A. Da Silva, Y. Lechevallier, F. A. T. De Carvalho.
Approche pour le suivi des changements sur les données évolutives, in: Journées de la Société Francophone de Classification, G. d'Aubigny (editor), 2009, p. 129-132.

[39]

A. Da Silva, Y. Lechevallier, F. A. T. De Carvalho.
Vers la simulation et la détection des changements des données évolutives d'usage du Web, in: Extraction et gestion des connaissances (EGC'2009), Actes des 9èmes journées Extraction et Gestion des Connaissances, Strasbourg, France, 27 au 30 janvier, 2009, p. 453-454.

[40]

Y. Lechevallier.
L'imprécision et la classification automatique, in: Rencontres francophones sur la logique floue et ses applications, Cépadués-éditions, 2009, p. 11-13.

[41]

A. Marascu, F. Masseglia.
Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution, in: Extraction et gestion des connaissances (EGC'2009), Actes des 9èmes journées Extraction et Gestion des Connaissances, Strasbourg, France, 27 au 30 janvier, 2009, p. 455-456.

[42]

G. Singh, F. Masseglia, C. Fiot, A. Marascu, P. Poncelet.
Collaborative Outlier Mining for Intrusion Detection, in: Extraction et gestion des connaissances (EGC'2009), Actes des 9èmes journées Extraction et Gestion des Connaissances, Strasbourg, France, 27 au 30 janvier, 2009, p. 313-324.

[43]

N. Verma, F. Trousset, P. Poncelet, F. Masseglia.
Détection d'intrusions dans un environnement collaboratif sécurisé, in: Extraction et gestion des connaissances (EGC'2009), Actes des 9èmes journées Extraction et Gestion des Connaissances, Strasbourg, France, 27 au 30 janvier, 2009, p. 301-312.

[44]

W. Wang, T. Guyet, R. Quiniou, M.-O. Cordier, F. Masseglia.
Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams, in: Extraction et gestion des connaissances (EGC'2009), Actes des 9èmes journées Extraction et Gestion des Connaissances, Strasbourg, France, 27 au 30 janvier, 2009, p. 457-458.

Scientific Books (or Scientific Book chapters)

[45]

A. Da Silva, Y. Lechevallier, F. Rossi, F. A. T. De Carvalho.
Clustering Dynamic Web Usage Data, in: Innovative Applications in Data Mining, N. Nedjah, L. De Macedo Mourelle, J. Kacprzyk (editors), Studies in Computational Intelligence, Springer, 2009, vol. 169/2009, chap. 4, p. 71–82.

[46]

A. Da Silva, Y. Lechevallier, F. A. T. De Carvalho.
Comparing Clustering on Symbolic Data, in: Intelligent Text Categorization and Clustering, Springer, 2009, p. 81-94.

Internal Reports

[47]

A. Da Silva, Y. Lechevallier.
Axis Tool for Web Usage Evolving Data Analysis (ATWEDA), INRIA-France, 2009.

Other Publications

[48]

A. Da Silva, Y. Lechevallier.
Analyse exploratoire des indices pour la détermination du bon nombre de clusters : application aux données évolutives, 2009, Groupe de Travail EGC sur la Fouille de Données Complexes (GT EGC-FDC) : Complexité liée aux données multiples..

[49]

F. A. T. De Carvalho.
Nouveaux Modèles de Régression Linéaire pour les Variables de Type Intervalle, 2009, Invited talk, 18 november,CNAM, Paris, France.

[50]

F. A. T. De Carvalho.
Recent Advances in Partitioning Clustering Algorithms for Interval-Valued Data, 2009, First SaarLorLux Workshop on Systems Biology 2009, Invited talk.

[51]

F. A. T. De Carvalho.
Une approche hybride pour les prévisions sous forme d'intervalle de séries temporelles d'intervalles, 2009, BiLab'seminar at Telecom ParisTech, 10 December, Paris, France, Invited talk.

[52]

GET-ENST, LIRMM, CEREGMIA, INRIA, LGI2P, EDF R&D, FT R&D.
Summarizing data streams by means of patterns extraction, 2009, n^o Tâche 1.3.

[53]

Y. Lechevallier.
Some clustering methods on dissimilarity or similarity matrices: Uncovering clusters in WEB Content, Structure and Usage, 2009, French-Brezilian Workshop on data Mining 2009, Invited talk.

[54]

B. Trousse, B. Senach.
INTERMED: Rapport d'activités pour la période 1/3/2008-1/3/2009 - AxIS Inria Sophia Antipolis, 2009.

[55]

B. Trousse, B. Senach.
Living Labs as an Open Innovation Ecosystem: Needs & Requirements for Collaboration Services viewed by the Living lab "ICT Usage Lab", 2009, ICE2009 workshop COIN4LL, june 24th, Invited talk.

References in notes

[56]

H.-H. Bock, E. Diday (editors)
Analysis of Symbolic Data. Exploratory methods for extracting statistical information from complex data, Springer Verlag, 2000.

[57]

K. Balog, T. Bogers, L. Azzopardi, M. De Rijke, A. Van den Bosch.
Broad expertise retrieval in sparse data environments, in: SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, ACM, 2007, p. 551–558.

[58]

P. Blackburn, J. Bos, K. Striegnitz.
Learn Prolog Now!, Texts in Computing, College Publications, 2006, vol. 7.

[59]

D. Blei, A. Ng, M. Jordan.
Latent Dirichlet Allocation, in: Journal of Machine Learning Research, 2002, vol. 3, 2003 p.

[60]

M. Chavent, Y. Lechevallier, O. Briant.
DIVCLUS-T: A monothetic divisive hierarchical clustering method, in: Computational Statistics and Data Analysis, 2007, vol. 52, p. 687-701.

[61]

S. Chelcea.
Agglomerative 2-3 Hierarchical Classification: Theoretical and Applicative Study, University of Nice Sophia Antipolis, March 2007, Ph. D. Thesis.

[62]

W. F. Clocksin, C. S. Mellish.
Programming in Prolog, Springer Verlag, 2003, 5th edition.

[63]

B. Conan-Guez, F. Rossi.
Speeding Up the Dissimilarity Self-Organizing Maps by Branch and Bound, in: Proceedings of 9th International Work-Conference on Artificial Neural Networks (IWANN 2007), San Sebastian (Spain), F. Sandoval, A. Prieto, J. Cabestany, M. Grana (editors), Lecture Notes in Computer Science, June 2007, n^o 4507, p. 203–210.

[64]

B. Conan-Guez, F. Rossi, A. El Golli.
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps, in: Neural Networks, August 2006, vol. 19, n^o 6–7, p. 855–863
http://hal.inria.fr/inria-00174196.

[65]

F. A. T. De Carvalho, R.M.C.R. De Souza, M. Chavent, Y. Lechevallier.
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data, in: Pattern Recognition Letters, February 2006, vol. 27, n^o 3, p. 167–179.

[66]

T. Despeyroux.
Developing efficient parsers in Prolog: the CLF manual (v1.0), INRIA, 2006, n^o RT-0328
http://hal.inria.fr/inria-00120518/en/, Technical Report.

[67]

T. Despeyroux.
XML based information systems and formal semantics of programming languages, Springer, Advanced Information and Knowledge Processing, April 2010, to appear.

[68]

T. Despeyroux, B. Trousse.
De la sémantique des langages de programmation à la vérification sémantique des sites Web, in: Journées scientifiques de l'action spécifique Web Sémantiques, CNRS, Paris, October 2002.

[69]

M. E. Fayad, D. C. Schmidt.
Object-Oriented Application Frameworks, in: Communication of the ACM, 1997, vol. 40, n^o 10, p. 32-38.

[70]

J. Griffiths, F. Johnson, R. Hartley.
User satisfaction as a measure of system performance, in: Journal of Librarianship and Information Science, 2007, vol. 39, n^o 3.

[71]

M. Hadjouni, M. R. Haddad, H. Baazaoui Zghal, M.-A. Aufaure, H. Ben Ghezala.
A spatially enhanced web personalization approach, in: ICWIT/ACM SIGAPP : In Second International Conference on Web and Information Technologies, in cooperation with ACM SIGAPP, 2009.

[72]

M. Hadjouni, M. R. Haddad, H. Baazaoui Zghal, M.-A. Aufaure, H. Ben Ghezala.
Personalized Information Retrieval Approach, in: WISM/CAISE'09 : Sixth International Workshop on Web Information Systems Modeling, held in conjunction with CAISE'09, 2009.

[73]

T. Hofmann.
Probabilistic Latent Semantic Analysis, in: SIGIR, 1999, p. 50–57.

[74]

R. E. Johnson, B. Foote.
Designing Reusable Classes, in: Journal of Object-oriented programming, 1988, vol. 1, n^o 2, p. 22–35.

[75]

H. Liu, H. Motoda.
Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series), Chapman & Hall/CRC, 2007.

[76]

A. Marascu, F. Masseglia.
Mining sequential patterns from data streams: a centroid approach, in: J. Intell. Inf. Syst., 2006, vol. 27, n^o 3, p. 291-307.

[77]

L. C. Molina, L. Belanche, A. Nebot.
Feature selection algorithms: a survey and experimental evaluation, in: ICDM'02. Proceedings. 2002 IEEE International Conference on Data Mining, 2002, p. 306-313.

[78]

M. Noirhomme-Fraiture.
User manual for SODAS 2 Software, FUNDP, Belgique, april 2004, version 1.0.

[79]

R. A. O'Keefe.
The craft of Prolog, MIT Press, Cambridge, MA, USA, 1990.

[80]

F. Rossi, B. Conan-Guez.
Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis, in: Neural Networks, January 2005, vol. 18, n^o 1, p. 45–60
http://hal.inria.fr/inria-00000599.

[81]

F. Rossi, B. Conan-Guez.
Un modèle neuronal pour la régression et la discrimination sur données fonctionnelles, in: Revue de Statistique Appliquée, 2005, vol. LIII, n^o 4, p. 5–30
http://hal.inria.fr/inria-00001190.

[82]

F. Rossi, B. Conan-Guez.
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs, in: Neural Processing Letters, February 2006, vol. 23, n^o 1, p. 55–70
http://hal.inria.fr/inria-00001191.

[83]

F. Rossi, N. Delannay, B. Conan-Guez, M. Verleysen.
Representation of Functional Data in Neural Networks, in: Neurocomputing, March 2005, vol. 64, p. 183–210
http://hal.inria.fr/inria-00000666.

[84]

F. Rossi, A. Hasenfuss, B. Hammer.
Accelerating Relational Clustering Algorithms With Sparse Prototype Representation, in: Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 07), Bielefeld (Germany), September 2007
http://dx.doi.org/10.2390/biecoll-wsom2007-144, ISBN: 978-3-00-022473-7.

[85]

F. Rossi.
Model collisions in the dissimilarity SOM, in: Proceedings of XVth European Symposium on Artificial Neural Networks (ESANN 2007), Bruges (Belgium), April 2007, p. 25–30
http://apiacoa.org/publications/2007/dsom-collision-esann.pdf.

[86]

P. Serdyukov, D. Hiemstra.
Modeling Documents as Mixtures of Persons for Expert Finding, in: ECIR, 2008, p. 309-320.

[87]

D. Tanasa.
Web Usage Mining: Contributions to Intersites Logs Preprocessing and Sequential Pattern Extraction with Low Support, University of Nice Sophia Antipolis, june 2005, Ph. D. Thesis.

[88]

B. Trousse, M.-A. Aufaure, B. Le Grand, Y. Lechevallier, F. Masseglia.
Web Usage Mining for Ontology Management, in: Data Mining with Ontologies: Implementations, Findings and Frameworks., N. Hèctor Oscar, S. E. G. Gonzalez Cisaro, X. Daniel Hugo (editors), Information Science Reference, 2007, chap. 3, p. 37-64.

[89]

N. Villa, F. Rossi.
A comparison between dissimilarity SOM and kernel SOM for clustering the vertices of a graph, in: Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 07), Bielefeld (Germany), September 2007
http://dx.doi.org/10.2390/biecoll-wsom2007-139, ISBN: 978-3-00-022473-7.